Development of a Tool for Systematic Integration of Traditional and New Approach Methods for Prioritizing Chemical Lists
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Multiple regulatory bodies (EPA, ECHA, Health Canada) are currently tasked with prioritizing chemicals for data collection and risk assessments. These prioritization efforts are in response to regulatory mandates to identify chemicals for further assessment. We have developed a web-based application that enables a rapid, flexible and transparent prioritization process. The tool includes multiple data streams related to human and ecological hazard, exposure, and physicochemical properties (persistence and bioaccumulation). For human hazard, the data streams include quantitative points of departure (PODs) that are compiled from multiple sources such as EPA ToxRefDB, ECHA, COSMOS; estimated PODs from high-throughput in vitro screening assays and computational models; and qualitative measurements and predictions of specific endpoints (e.g., genotoxicity, endocrine activity). For ecological hazard, quantitative PODs are taken from the EPA ECOTOX database. Exposure information includes production volume, quantitative predictions using the EPA ExpoCast and SHEDS models, biomonitoring data, and qualitative information such as media occurrence, use profiles and likelihood of consumer and childhood exposures. The use of the tool is illustrated by prioritizing chemicals related to TSCA and the Safer Choice Ingredient List. The underpinning data streams for this application are already available in the EPA CompTox Chemistry Dashboard and have been repurposed to deliver this application. This is in keeping with our overarching software development methodology of providing multiple “building blocks” in the form of databases, web services and visualization components to deliver fit-for purpose applications to the relevant audiences. This abstract does not necessarily represent U.S. EPA policy.
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Chemical risk assessment is both time-consuming and difficult because it requires the assembly of data for chemicals generally distributed across multiple sources. The US EPA CompTox Chemistry Dashboard is a publicly accessible web-based application providing access to various data streams on ~760,000 chemical substances. These data include experimental and predicted physicochemical property data, bioassay screening data associated with the ToxCast program, consumer product and functional use information and a myriad of related data of value to environmental scientists and toxicologists. At this stage of development, the public dashboard provides access to almost 20 predicted physicochemical and environmental fate and transport endpoints with full transparency in terms of model performance. Experimental and predicted human and ecological toxicity data are also available, as are in vitro to in vivo extrapolation dosimetry predictions and predicted exposure and functional use. In parallel to the CompTox Chemistry Dashboard we are developing RapidTox, a web-based application that enables a rapid, flexible and transparent prioritization process for sets of chemicals using several previously used workflows focused on scoring of traditional risk metrics and the inclusion of alternative hazard and exposure estimates. This presentation will give an overview of the CompTox Chemistry Dashboard, RapidTox, our approaches to building transparent and open prediction models, and our efforts to provide access to real time predictions. This abstract does not necessarily represent U.S. EPA policy.US EPA CompTox Chemistry Dashboard as a source of data to fill data gaps for ...
US EPA CompTox Chemistry Dashboard as a source of data to fill data gaps for ...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
High resolution mass spectrometry (HRMS) and non-targeted analysis (NTA) are advancing the identification of emerging contaminants in environmental matrices, improving the means by which exposure analyses can be conducted. However, confidence in structure identification of unknowns in NTA presents challenges to analytical chemists. Structure identification requires integration of complementary data types such as reference databases, fragmentation prediction tools, and retention time prediction models. The goal of this research is to optimize and implement structure identification functionality within the US EPA’s CompTox Chemistry Dashboard, an open chemistry resource and web application containing data for ~760,000 substances. Rank-ordering the number of sources associated with chemical records within the Dashboard (Data Source Ranking) improves the identification of unknowns by bringing the most likely candidate structures to the top of a search results list. Database searching has been further optimized with the generation of MS-Ready Structures. MS-Ready structures are de-salted, stripped of stereochemistry, and mixture separated to replicate the form of a chemical observed via HRMS. Functionality to conduct batch searching of molecular formulae and monoisotopic masses was designed and released to improve searching efforts. Finally, a scoring-based identification scheme was developed, optimized, and surfaced via the Dashboard using multiple data streams contained within the database underlying the Dashboard. The scoring-based identification scheme improved the identification of unknowns over previous efforts using data source ranking alone. Combining these steps within an open chemistry resource provides a freely available software tool for structure identification and NTA. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.Using the US EPA’s CompTox Chemistry Dashboard for structure identification a...
Using the US EPA’s CompTox Chemistry Dashboard for structure identification a...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
EPA’s National Center for Computational Toxicology is developing automated workflows for curating large databases and providing accurate linkages of data to chemical structures, exposure and hazard information. The data are being made available via the EPA’s CompTox Chemistry Dashboard (https://comptox.epa.gov/dashboard), a publicly accessible website providing access to data for almost 760,000 chemical substances, the majority of these represented as chemical structures. The web application delivers a wide array of computed and measured physicochemical properties, in vitro high-throughput screening data and in vivo toxicity data as well as integrated chemical linkages to a growing list of literature, toxicology, and analytical chemistry websites. In addition, several specific search types are in development to directly support the mass spectroscopy non-targeted screening community, who are generating important data for detecting and assessing environmental exposures to chemicals contained within DSSTox. The application provides access to segregated lists of chemicals that are of specific interests to relevant stakeholders including, for example, scientists interested in algal toxins and hydraulic fracturing chemicals. This presentation will provide an overview of the challenges associated with the curation of data from EPA’s December 2016 Hydraulic Fracturing Drinking Water Assessment Report that represented chemicals reported to be used in hydraulic fracturing fluids and those found in produced water. The data have been integrated into the dashboard with a number of resulting benefits: a searchable database of chemical properties, with hazard and exposure predictions, and open literature. The application of the dashboard to support mass spectrometry non-targeted analysis studies will also be reviewed. This abstract does not reflect U.S. EPA policy.Accessing information for chemicals in hydraulic fracturing fluids using the ...
Accessing information for chemicals in hydraulic fracturing fluids using the ...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Researchers at EPA’s National Center for Computational Toxicology integrate advances in biology, chemistry, and computer science to examine the toxicity of chemicals and help prioritize chemicals for further research based on potential human health risks. The goal of this research program is to quickly evaluate thousands of chemicals, but at a much reduced cost and shorter time frame relative to traditional approaches. The data generated by the Center includes characterization of thousands of chemicals across hundreds of high-throughput screening assays, consumer use and production information, pharmacokinetic properties, literature data, physical-chemical properties as well as the predictive computational modeling of toxicity and exposure. We have developed a number of databases and applications to deliver the data to the public, academic community, industry stakeholders, and regulators. This presentation will provide an overview of our work to develop an architecture that integrates diverse large-scale data from the chemical and biological domains, our approaches to disseminate these data, and the delivery of models supporting predictive computational toxicology. In particular, this presentation will review our new CompTox Chemistry Dashboard and the developing architecture to support real-time property and toxicity endpoint prediction. This abstract does not reflect U.S. EPA policy.New developments in delivering public access to data from the National Center...
New developments in delivering public access to data from the National Center...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Identification of unknowns in mass spectrometry based non-targeted analyses (NTA) requires the integration of complementary pieces of data to arrive at a confident, consensus structure. Researchers use chemical reference databases, spectral matching, fragment prediction tools, retention time prediction tools, and a variety of other data to arrive at tentative, probable, and confirmed, if possible, identifications. With the diverse, robust data contained within the US EPA’s CompTox Chemistry Dashboard (https://comptox.epa.gov), the goal of this research is to identify and implement a harmonized identification tool and workflow using previously generated chemistry data. Data has been compiled from product use, functional use prediction models, environmental media occurrence prediction models, and PubMed references, among other sources. We will report on our development of a visualization tool whereby users can visualize the relative contribution of identification-based metrics on a list of candidate structures and observe the greatest likelihood of occurrence. These data and visualization tools support NTA identification via the Dashboard and demonstrate an open, accessible tool for all users of HRMS data. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.Structure identification by Mass Spectrometry Non-Targeted Analysis using the...
Structure identification by Mass Spectrometry Non-Targeted Analysis using the...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Non-targeted and suspect screening studies using high resolution mass spectrometry (HRMS) have revolutionized the detection of chemicals in complex matrices. However, data processing remains challenging due to the vast number of chemicals detected in samples, software and computational requirements of data processing, and inherent uncertainty in confidently identifying chemicals from candidate lists. The US EPA has developed functionality within the CompTox Chemicals Dashboard (https://comptox.epa.gov) to address challenges related to data processing and analysis in HRMS. These tools include the generation of “MS-Ready” structures to optimize database searching, retention time prediction for candidate reduction, consensus ranking using chemical metadata, and in silico MS/MS fragmentation prediction for spectral matching. Combining these tools into a comprehensive workflow improves certainty in candidate identification. This presentation will introduce the tools and combined workflow, including visualization and access via the CompTox Chemicals Dashboard. These tools, data, and visualization approaches within an open chemistry resource provides a publicly available software tool to support structure identification and non-targeted analyses. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.Chemical identification of unknowns in high resolution mass spectrometry usin...
Chemical identification of unknowns in high resolution mass spectrometry usin...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Cheminformatics methods form an essential basis for providing analytical scientists with access to data, algorithms and workflows. There are an increasing number of free online databases (compound databases, spectral libraries, data repositories) and a rich collection of software approaches that can be used to support automated structure verification and elucidation, specifically for Nuclear Magnetic Resonance (NMR) and Mass Spectrometry (MS). This presentation will provide an overview of freely available data, tools, databases and approaches available to support chemical structure verification and elucidation and highlight some of the known issues regarding data quality and suggest approaches for resolving some of the issues. The importance of structure and spectral standards for data exchange will be discussed, especially with regard to how spectral data can be made openly available to the community via online tools and through scientific publishing. This work does not necessarily reflect U.S. EPA policy.Overview of open resources to support automated structure verification and e...
Overview of open resources to support automated structure verification and e...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The increasing popularity of high mass accuracy non-target mass spectrometry methods has yielded extensive identification efforts based on chemical compound databases. Candidate structures are often retrieved with either exact mass or molecular formula from large resources such as PubChem, ChemSpider or the EPA CompTox Chemistry Dashboard. Additional data (e.g. fragmentation, physicochemical properties, reference and data source information) is then used to select potential candidates, depending on the experimental context. However, these strategies require the presence of substances of interest in these compound databases, which is often not the case as no database can be fully inclusive. A prominent example with clear data gaps are surfactants, used in many products in our daily lives, yet often absent as discrete structures in compound databases. Linear alkylbenzene sulfonates (LAS) are a common, high use and high priority surfactant class that have highly complex transformation behaviour in wastewater. Despite extensive reports in the environmental literature, few of the LAS and none of the related transformation products were reported in any compound databases during an investigation into Swiss wastewater effluents, despite these forming the most intense signals. The LAS surfactant class will be used to demonstrate how the coupling of environmental observations with high resolution mass spectrometry and detailed literature data (expert knowledge) on the transformation of these species can be used to progressively “fill the gaps” in compound databases. The LAS and their transformation products have been added to the CompTox Chemistry Dashboard (https://comptox.epa.gov/) using a combination of “representative structures” and “related structures” starting from the structural information contained in the literature. By adding this information into a centralized open resource, future environmental investigations can now profit from the expert knowledge previously scattered throughout the literature. Note: This abstract does not reflect US EPA policy.Adding complex expert knowledge into chemical database and transforming surfa...
Adding complex expert knowledge into chemical database and transforming surfa...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Recommended
Chemical risk assessment is both time-consuming and difficult because it requires the assembly of data for chemicals generally distributed across multiple sources. The US EPA CompTox Chemistry Dashboard is a publicly accessible web-based application providing access to various data streams on ~760,000 chemical substances. These data include experimental and predicted physicochemical property data, bioassay screening data associated with the ToxCast program, consumer product and functional use information and a myriad of related data of value to environmental scientists and toxicologists. At this stage of development, the public dashboard provides access to almost 20 predicted physicochemical and environmental fate and transport endpoints with full transparency in terms of model performance. Experimental and predicted human and ecological toxicity data are also available, as are in vitro to in vivo extrapolation dosimetry predictions and predicted exposure and functional use. In parallel to the CompTox Chemistry Dashboard we are developing RapidTox, a web-based application that enables a rapid, flexible and transparent prioritization process for sets of chemicals using several previously used workflows focused on scoring of traditional risk metrics and the inclusion of alternative hazard and exposure estimates. This presentation will give an overview of the CompTox Chemistry Dashboard, RapidTox, our approaches to building transparent and open prediction models, and our efforts to provide access to real time predictions. This abstract does not necessarily represent U.S. EPA policy.US EPA CompTox Chemistry Dashboard as a source of data to fill data gaps for ...
US EPA CompTox Chemistry Dashboard as a source of data to fill data gaps for ...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
High resolution mass spectrometry (HRMS) and non-targeted analysis (NTA) are advancing the identification of emerging contaminants in environmental matrices, improving the means by which exposure analyses can be conducted. However, confidence in structure identification of unknowns in NTA presents challenges to analytical chemists. Structure identification requires integration of complementary data types such as reference databases, fragmentation prediction tools, and retention time prediction models. The goal of this research is to optimize and implement structure identification functionality within the US EPA’s CompTox Chemistry Dashboard, an open chemistry resource and web application containing data for ~760,000 substances. Rank-ordering the number of sources associated with chemical records within the Dashboard (Data Source Ranking) improves the identification of unknowns by bringing the most likely candidate structures to the top of a search results list. Database searching has been further optimized with the generation of MS-Ready Structures. MS-Ready structures are de-salted, stripped of stereochemistry, and mixture separated to replicate the form of a chemical observed via HRMS. Functionality to conduct batch searching of molecular formulae and monoisotopic masses was designed and released to improve searching efforts. Finally, a scoring-based identification scheme was developed, optimized, and surfaced via the Dashboard using multiple data streams contained within the database underlying the Dashboard. The scoring-based identification scheme improved the identification of unknowns over previous efforts using data source ranking alone. Combining these steps within an open chemistry resource provides a freely available software tool for structure identification and NTA. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.Using the US EPA’s CompTox Chemistry Dashboard for structure identification a...
Using the US EPA’s CompTox Chemistry Dashboard for structure identification a...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
EPA’s National Center for Computational Toxicology is developing automated workflows for curating large databases and providing accurate linkages of data to chemical structures, exposure and hazard information. The data are being made available via the EPA’s CompTox Chemistry Dashboard (https://comptox.epa.gov/dashboard), a publicly accessible website providing access to data for almost 760,000 chemical substances, the majority of these represented as chemical structures. The web application delivers a wide array of computed and measured physicochemical properties, in vitro high-throughput screening data and in vivo toxicity data as well as integrated chemical linkages to a growing list of literature, toxicology, and analytical chemistry websites. In addition, several specific search types are in development to directly support the mass spectroscopy non-targeted screening community, who are generating important data for detecting and assessing environmental exposures to chemicals contained within DSSTox. The application provides access to segregated lists of chemicals that are of specific interests to relevant stakeholders including, for example, scientists interested in algal toxins and hydraulic fracturing chemicals. This presentation will provide an overview of the challenges associated with the curation of data from EPA’s December 2016 Hydraulic Fracturing Drinking Water Assessment Report that represented chemicals reported to be used in hydraulic fracturing fluids and those found in produced water. The data have been integrated into the dashboard with a number of resulting benefits: a searchable database of chemical properties, with hazard and exposure predictions, and open literature. The application of the dashboard to support mass spectrometry non-targeted analysis studies will also be reviewed. This abstract does not reflect U.S. EPA policy.Accessing information for chemicals in hydraulic fracturing fluids using the ...
Accessing information for chemicals in hydraulic fracturing fluids using the ...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Researchers at EPA’s National Center for Computational Toxicology integrate advances in biology, chemistry, and computer science to examine the toxicity of chemicals and help prioritize chemicals for further research based on potential human health risks. The goal of this research program is to quickly evaluate thousands of chemicals, but at a much reduced cost and shorter time frame relative to traditional approaches. The data generated by the Center includes characterization of thousands of chemicals across hundreds of high-throughput screening assays, consumer use and production information, pharmacokinetic properties, literature data, physical-chemical properties as well as the predictive computational modeling of toxicity and exposure. We have developed a number of databases and applications to deliver the data to the public, academic community, industry stakeholders, and regulators. This presentation will provide an overview of our work to develop an architecture that integrates diverse large-scale data from the chemical and biological domains, our approaches to disseminate these data, and the delivery of models supporting predictive computational toxicology. In particular, this presentation will review our new CompTox Chemistry Dashboard and the developing architecture to support real-time property and toxicity endpoint prediction. This abstract does not reflect U.S. EPA policy.New developments in delivering public access to data from the National Center...
New developments in delivering public access to data from the National Center...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Identification of unknowns in mass spectrometry based non-targeted analyses (NTA) requires the integration of complementary pieces of data to arrive at a confident, consensus structure. Researchers use chemical reference databases, spectral matching, fragment prediction tools, retention time prediction tools, and a variety of other data to arrive at tentative, probable, and confirmed, if possible, identifications. With the diverse, robust data contained within the US EPA’s CompTox Chemistry Dashboard (https://comptox.epa.gov), the goal of this research is to identify and implement a harmonized identification tool and workflow using previously generated chemistry data. Data has been compiled from product use, functional use prediction models, environmental media occurrence prediction models, and PubMed references, among other sources. We will report on our development of a visualization tool whereby users can visualize the relative contribution of identification-based metrics on a list of candidate structures and observe the greatest likelihood of occurrence. These data and visualization tools support NTA identification via the Dashboard and demonstrate an open, accessible tool for all users of HRMS data. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.Structure identification by Mass Spectrometry Non-Targeted Analysis using the...
Structure identification by Mass Spectrometry Non-Targeted Analysis using the...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Non-targeted and suspect screening studies using high resolution mass spectrometry (HRMS) have revolutionized the detection of chemicals in complex matrices. However, data processing remains challenging due to the vast number of chemicals detected in samples, software and computational requirements of data processing, and inherent uncertainty in confidently identifying chemicals from candidate lists. The US EPA has developed functionality within the CompTox Chemicals Dashboard (https://comptox.epa.gov) to address challenges related to data processing and analysis in HRMS. These tools include the generation of “MS-Ready” structures to optimize database searching, retention time prediction for candidate reduction, consensus ranking using chemical metadata, and in silico MS/MS fragmentation prediction for spectral matching. Combining these tools into a comprehensive workflow improves certainty in candidate identification. This presentation will introduce the tools and combined workflow, including visualization and access via the CompTox Chemicals Dashboard. These tools, data, and visualization approaches within an open chemistry resource provides a publicly available software tool to support structure identification and non-targeted analyses. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.Chemical identification of unknowns in high resolution mass spectrometry usin...
Chemical identification of unknowns in high resolution mass spectrometry usin...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Cheminformatics methods form an essential basis for providing analytical scientists with access to data, algorithms and workflows. There are an increasing number of free online databases (compound databases, spectral libraries, data repositories) and a rich collection of software approaches that can be used to support automated structure verification and elucidation, specifically for Nuclear Magnetic Resonance (NMR) and Mass Spectrometry (MS). This presentation will provide an overview of freely available data, tools, databases and approaches available to support chemical structure verification and elucidation and highlight some of the known issues regarding data quality and suggest approaches for resolving some of the issues. The importance of structure and spectral standards for data exchange will be discussed, especially with regard to how spectral data can be made openly available to the community via online tools and through scientific publishing. This work does not necessarily reflect U.S. EPA policy.Overview of open resources to support automated structure verification and e...
Overview of open resources to support automated structure verification and e...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The increasing popularity of high mass accuracy non-target mass spectrometry methods has yielded extensive identification efforts based on chemical compound databases. Candidate structures are often retrieved with either exact mass or molecular formula from large resources such as PubChem, ChemSpider or the EPA CompTox Chemistry Dashboard. Additional data (e.g. fragmentation, physicochemical properties, reference and data source information) is then used to select potential candidates, depending on the experimental context. However, these strategies require the presence of substances of interest in these compound databases, which is often not the case as no database can be fully inclusive. A prominent example with clear data gaps are surfactants, used in many products in our daily lives, yet often absent as discrete structures in compound databases. Linear alkylbenzene sulfonates (LAS) are a common, high use and high priority surfactant class that have highly complex transformation behaviour in wastewater. Despite extensive reports in the environmental literature, few of the LAS and none of the related transformation products were reported in any compound databases during an investigation into Swiss wastewater effluents, despite these forming the most intense signals. The LAS surfactant class will be used to demonstrate how the coupling of environmental observations with high resolution mass spectrometry and detailed literature data (expert knowledge) on the transformation of these species can be used to progressively “fill the gaps” in compound databases. The LAS and their transformation products have been added to the CompTox Chemistry Dashboard (https://comptox.epa.gov/) using a combination of “representative structures” and “related structures” starting from the structural information contained in the literature. By adding this information into a centralized open resource, future environmental investigations can now profit from the expert knowledge previously scattered throughout the literature. Note: This abstract does not reflect US EPA policy.Adding complex expert knowledge into chemical database and transforming surfa...
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High resolution mass spectrometry (HRMS) and non-targeted analysis (NTA) are of increasing interest in chemical forensics for the identification of emerging contaminants and chemical signatures of interest. At the US Environmental Protection Agency, our research using HRMS for non-targeted and suspect screening analyses utilizes databases and cheminformatics approaches that are applicable to chemical forensics. The CompTox Chemistry Dashboard is an open chemistry resource and web-based application containing data for ~760,000 substances. Basic functionality for searching through the data is provided through identifier searches, such as systematic name, trade names and CAS Registry Numbers. Advanced Search capabilities supporting mass spectrometry include mass and formula-based searches, combined substructure-mass searches and searching experimental mass spectral data against predicted fragmentation spectra. A specific type of data mapping in the underpinning database, using “MS-Ready” structures, has proven to be a valuable approach for structure identification that links structures that can be identified via HRMS with related substances in the form of salts, and other multi-component mixtures that are available in commerce. This presentation will provide an overview of the CompTox Chemistry Dashboard and demonstrate its utility for supporting structure identification and NTA in chemical forensics. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.Applications of the US EPA’s CompTox Chemistry Dashboard to support structure...
Applications of the US EPA’s CompTox Chemistry Dashboard to support structure...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
In the domain of chemistry one of the greatest benefits to publishing research is that data can be shared. Unfortunately, the vast majority of chemical structure data associated with scientific publications remain locked up in document form, primarily in PDF files or trapped on webpages. Despite the explosive growth of online chemical databases and the overall maturity of cheminformatics platforms, many barriers stifle the exchange of chemical structures via publications. These challenges include incomplete support by accepted standards (especially InChI) for advanced stereochemistry, organometallic compounds and generic “Markush” representations, the difference between human-readable and computer-readable forms of data, and challenges with the computer representation of chemical structures. To address these obstacles to chemical structure sharing, US EPA National Center for Computational Toxicology scientists are using a combination of cheminformatics applications and online repositories to distribute chemical structure data associated with their publications. This presentation will describe how EPA-NCCT chemical structure data that is amenable to indexing and distribution are shared and highlight the benefit of open data sharing for modeling, data integration, and increasing research impact. This abstract does not reflect U.S. EPA policy.Sharing chemical structures with peer reviewed publications
Sharing chemical structures with peer reviewed publications US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
High resolution mass spectrometry (HRMS) and non-targeted analysis (NTA) are utilized to identify emerging contaminants and chemical signatures of interest detected in various media. At the US Environmental Protection Agency the CompTox Chemicals Dashboard (https://comptox.epa.gov/dashboard) is an open chemistry resource and web-based application containing data for ~900,000 substances and supports non-targeted and suspect screening analyses. Searching functionality includes identifier searches (e.g. systematic names, trade names and CAS Registry Numbers), mass and formula-based searches and prototype developments include combined substructure-mass/formula searches and searching experimental mass spectral data against predicted fragmentation spectra. A specific type of data mapping in the database uses “MS-Ready” structures, a way to process all registered substances to separate multi-component chemicals into their individual components, removal of stereochemical bonds and desalting and neutralization. This MS-Ready processing supports batch-searching using either mass or formulae to identify candidate chemicals and their mapped substances. A number of chemical lists (https://comptox.epa.gov/dashboard/chemical_lists) have also been developed to support the identification of chemicals related to agrochemistry, specifically pesticides (both active and inert constituents), insecticides and their metabolites and environmental breakdown products). This presentation will provide an overview of how the CompTox Chemicals Dashboard supports mass spectrometry based structure identification and non-targeted analysis of chemicals in agrochemistry. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.Structure identification approaches using the EPA CompTox Chemicals Dashboard...
Structure identification approaches using the EPA CompTox Chemicals Dashboard...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The U.S. Environmental Protection Agency (EPA) Computational Toxicology Program utilizes computational and data-driven approaches that integrate chemistry, exposure and biological data to help characterize potential risks from chemical exposure. The National Center for Computational Toxicology (NCCT) has measured, assembled and delivered an enormous quantity and diversity of data for the environmental sciences, including high-throughput in vitro screening data, in vivo and functional use data, exposure models and chemical databases with associated properties. The CompTox Chemicals Dashboard website provides access to data associated with ~900,000 chemical substances. New data are added on an ongoing basis, including the registration of new and emerging chemicals, data extracted from the literature, chemicals studied in our labs, and data of interest to specific research projects at the EPA. Hazard and exposure data have been assembled from a large number of public databases and as a result the dashboard surfaces hundreds of thousands of data points. Other data includes experimental and predicted physicochemical property data, in vitro bioassay data and millions of chemical identifiers (names and CAS Registry Numbers) to facilitate searching. Other integrated modules include real-time physicochemical and toxicity endpoint prediction and an integrated search to PubMed. This presentation will provide an overview of the CompTox Chemicals Dashboard and how it has developed into an integrated data hub for environmental data. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.US-EPA Chemicals Dashboard – an integrated data hub for environmental science
US-EPA Chemicals Dashboard – an integrated data hub for environmental scienceUS Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Non-targeted analysis (NTA) uses high-resolution mass spectrometry to better understand the identity of a wide variety of chemicals present in environmental samples (and other matrices). However, data processing remains challenging due to the vast number of chemicals detected in samples, software and computational requirements of data processing, and inherent uncertainty in confidently identifying chemicals from candidate lists. Analysis of the resultant mass spectrometry information relies on cheminformatics to identify and rank chemicals and the US EPA has developed functionality within the CompTox Chemicals Dashboard (https://comptox.epa.gov/dashboard) to address challenges related to this analysis. These tools include the generation of “MS-Ready” structures to optimize database searching, retention time prediction for candidate reduction, consensus ranking using chemical metadata, and in silico MS/MS fragmentation prediction for spectral matching. Combining these tools into a comprehensive workflow improves certainty in candidate identification. This presentation will review how the CompTox Chemicals Dashboard via its flexible search capabilities, rich data for ~900,000 chemical substances, and visualization approaches within this open chemistry resource provides a freely available software tool to support structure identification and NTA. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.Non-targeted analysis supported by data and cheminformatics delivered via the...
Non-targeted analysis supported by data and cheminformatics delivered via the...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
This presentation was made to the University of North Carolina in Chapel Hill on 9/20/21. The presentation was a general introduction to cheminformatics prior to how to navigate the Dashboard.
• An introduction to the dashboard
• Substances vs structures
• Structure formats for data exchange and connectivity (SMILES, InChIs, molfiles)
• Identifiers – CASRN, chemical names, systematic names
• Data curation approaches: substance-structure ambiguity
• ChemReg: substance registration
• Data gathering for systematic reviews
• Curated lists
• Properties/Fate and Transport
• Access to Exposure Data
• Hazard data in the dashboard – ToxVal data (sourced from >40 databases, >50,000 chemicals, >900,000 data points)
• The Executive Summary of data
• Single chemical searches vs Batch searches
Introduction to Cheminformatics: Accessing data through the CompTox Chemicals...
Introduction to Cheminformatics: Accessing data through the CompTox Chemicals...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Researchers at EPA’s National Center for Computational Toxicology integrate advances in biology, chemistry, and computer science to examine the toxicity of chemicals and help prioritize chemicals for further research based on potential human health risks. The goal of this research program is to quickly evaluate thousands of chemicals, but at a much reduced cost and shorter time frame relative to traditional approaches. The data generated by the Center includes characterization of thousands of chemicals across hundreds of high-throughput screening assays, consumer use and production information, pharmacokinetic properties, literature data, physical-chemical properties as well as the predictive computational modeling of toxicity and exposure. We have developed a number of databases and applications to deliver the data to the public, academic community, industry stakeholders, and regulators. This presentation will provide an overview of our work to develop an architecture that integrates diverse large-scale data from the chemical and biological domains, our approaches to disseminate these data, and the delivery of models supporting predictive computational toxicology. In particular, this presentation will review our new publicly-accessible CompTox Dashboard as the first application built on our newly developed architecture. This abstract does not reflect U.S. EPA policy. Delivering The Benefits of Chemical-Biological Integration in Computational T...
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There is a growing need for rapid chemical screening and prioritization to inform regulatory decision-making on thousands of chemicals in the environment. We have previously used high-resolution mass spectrometry to examine household vacuum dust samples using liquid chromatography time-of-flight mass spectrometry (LC-TOF/MS). Using a combination of exact mass, isotope distribution, and isotope spacing, molecular features were matched with a list of chemical formulas from the EPA’s Distributed Structure-Searchable Toxicity (DSSTox) database. This has further developed our understanding of how openly available chemical databases, together with the appropriate searches, could be used for the purpose of compound identification. We report here on the utility of the EPA’s iCSS Chemistry Dashboard for the purpose of compound identification using searches against a database of over 720,000 chemicals. We also examine the benefits of QSAR prediction for the purpose of retention time prediction to allow for alignment of both chromatographic and mass spectral properties. This abstract does not reflect U.S. EPA policy.Environmental Chemistry Compound Identification Using High Resolution Mass Sp...
Environmental Chemistry Compound Identification Using High Resolution Mass Sp...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
There is a growing need for rapid chemical screening and prioritization to inform regulatory decision-making on thousands of chemicals in the environment. We have previously used high-resolution mass spectrometry to examine household vacuum dust samples using liquid chromatography time-of-flight mass spectrometry (LC-TOF/MS). Using a combination of exact mass, isotope distribution, and isotope spacing, molecular features were matched with a list of chemical formulas from the EPA’s Distributed Structure-Searchable Toxicity (DSSTox) database. This has further developed our understanding of how openly available chemical databases, together with the appropriate searches, could be used for the purpose of compound identification. We report here on the utility of the EPA’s iCSS Chemistry Dashboard for the purpose of compound identification using searches against a database of over 720,000 chemicals. We also examine the benefits of QSAR prediction for the purpose of retention time prediction to allow for alignment of both chromatographic and mass spectral properties. This abstract does not reflect U.S. EPA policy.The EPA iCSS Chemistry Dashboard to Support Compound Identification Using Hig...
The EPA iCSS Chemistry Dashboard to Support Compound Identification Using Hig...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The US EPA’s CompTox Chemicals Dashboard (https://comptox.epa.gov/dashboard) is a freely available web-based application providing access to data for ~900,000 chemical substances, the majority of these represented as chemical structures. The Dashboard also provides access to segregated lists of chemicals that are of specific interest to relevant stakeholders and, in particular, a list of hundreds of disinfection by-product (DBP) chemicals reported in the literature and detected in the laboratory using mass spectrometric techniques. Many of these chemicals are explicit chemical structures whose structures have been confirmed using purchased or synthesized reference standards. However, some of these chemicals may be ambiguous in nature with no explicit positional isomers being possible to define but the formula and mass spec fragmentation sufficient to define a class of chemicals (e.g. dichlorophenol). Such chemicals may be represented with ambiguous chemical structure forms, so-called Markush structures, and mapped to the individual class members. Chemicals accessible via the Dashboard can include access to a wide array of computed and measured physicochemical properties, in vitro high-throughput screening data and in vivo toxicity data, product use information extracted from safety data sheets, and integrated chemical linkages to a growing list of literature, toxicology, and analytical chemistry websites. Since DBP chemicals are primarily identified using mass spectrometric techniques specific search types have been developed to directly support the non-targeted screening community, enabling cohesive workflows to support data generation for the detection and assessment of environmental exposures to chemicals contained within the database. This presentation will provide an overview of the Dashboard, the ongoing expansion of the DBP chemical list and specific functionality supporting identification of DBPs by mass spectrometry. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.Web-based access to data for >600 disinfection by-products via the EPA CompTo...
Web-based access to data for >600 disinfection by-products via the EPA CompTo...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Presentation for Texas A&M Superfund Research Center virtual learning series, Big Data in Environmental Science and Toxicology. More details at https://superfund.tamu.edu/big-data-session-2-aug-18-2021/New Approach Methods - What is That?
New Approach Methods - What is That?US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The U.S. Environmental Protection Agency (EPA) Computational Toxicology Program utilizes computational and data-driven approaches that integrate chemistry, exposure and biological data to help characterize potential risks from chemical exposure. The National Center for Computational Toxicology (NCCT) has measured, assembled and delivered an enormous quantity and diversity of data for the environmental sciences, including high-throughput in vitro screening data, in vivo and functional use data, exposure models and chemical databases with associated properties. The CompTox Chemicals Dashboard website provides access to data associated with ~900,000 chemical substances. New data are added on an ongoing basis, including the registration of new and emerging chemicals, data extracted from the literature, chemicals studied in our labs, and data of interest to specific research projects at the EPA. Hazard and exposure data have been assembled from a large number of public databases and as a result the dashboard surfaces hundreds of thousands of data points. Other data includes experimental and predicted physicochemical property data, in vitro bioassay data for over 4000 chemicals and 2000 assays, and millions of chemical identifiers (names and CAS Registry Numbers) to facilitate searching. Other integrated modules include an interactive read-across module, real-time physicochemical and toxicity endpoint prediction and an integrated search to PubMed. This presentation will provide an overview of the latest release of the CompTox Chemicals Dashboard and how it has developed into an integrated data hub for environmental data. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.US-EPA CompTox Chemicals Dashboard – integrating chemistry and biology data t...
US-EPA CompTox Chemicals Dashboard – integrating chemistry and biology data t...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
EPA’s National Center for Computational Toxicology is developing automated workflows for curating large databases within the DSSTox project, and providing accurate linkages of data to chemical structures, exposure and hazard information. The data are made available via the EPA’s CompTox Chemistry Dashboard (https://comptox.epa.gov/dashboard), a publicly accessible website providing access to data for ~760,000 chemical substances, the majority of these represented as chemical structures. The web application delivers a wide array of computed and measured physicochemical properties, in vitro high-throughput screening data and in vivo toxicity data, as well as integrated chemical linkages to a growing list of literature, toxicology, and analytical chemistry websites. In addition, several specific search types are in development to directly support the mass spectrometry non-targeted screening community, enabling cohesive workflows to support data generation for the detection and assessment of environmental exposures to chemicals contained within DSSTox. The application provides access to segregated lists of chemicals that are of specific interest to relevant stakeholders, including, for example, scientists interested in Per- & Polyfluoroalkyl Substances (PFAS). Added lists include those sourced from the European Union as well as developed in-house and now containing thousands of chemicals. A procured testing library of hundreds of PFAS chemicals annotated into chemical categories has been integrated into the dashboard with a number of resulting benefits: a searchable database of chemical properties, with hazard and exposure predictions, and links to the open literature. This presentation will provide an overview of the dashboard, the developing library of PFAS chemicals and associated categorization, and new physicochemical property and environmental fate and transport QSAR prediction models developed for these chemicals. The application of the dashboard to support mass spectrometry non-targeted analysis studies for the identification of PFAS chemicals will also be reviewed. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.Accessing information for Per- & Polyfluoroalkyl Substances using the US EPA ...
Accessing information for Per- & Polyfluoroalkyl Substances using the US EPA ...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The internet has changed the way we access chemistry data as well as providing access to data that can quickly proliferate and becomes referenceable. Web access to chemical structures and their integration with biological data has become massively enabling with numbers for UniChem, PubChem and ChemSpider reaching 157, 97 and 71 million respectively (at the time of writing). A range of specialist databases small enough to be curated have stand-alone utility and synergies when integrated into the larger collections. These include DrugBank, BindingDB, ChEBI, and many others. Databases of any size have inherent quality challenges but at large scale various forms of “noise” accumulate to problematic levels. The unfortunate consequence is that “bigger gets worse”. This is particularly associated with large uncurated submissions from vendors and automated document extractions (even though these are high-value). Virtual enumerations and circularity between overlapping sources add to the problem. As a result of some of the noise in the larger databases the value becomes highly dependent on the specific applications. An example includes using the databases to support non-targeted analysis. This presentation covers examples of these noise and quality issues and suggests at least some options to ameliorate the problem. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency. Does bigger mean better in the world of chemistry databases?
Does bigger mean better in the world of chemistry databases? US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Access to both experimental and predicted environmental fate and transport data is facilitated by the US-EPA CompTox Chemicals Dashboard. Providing access to various types of data associated with ~900,000 chemical substances, the dashboard is a web-based application supporting computational toxicology research in environmental chemistry. When experimental physicochemical and fate and transport data are not available, QSAR models developed using curated datasets are used for the prediction of properties. These include: bioaccumulation factors, bioconcentration factors, and biodegradation and fish biotransformation half-lives. For chemicals of interest that are not already registered in the dashboard real-time predictions based on structural inputs are available. This presentation will provide an overview of the dashboard with a focus on the availability of environmental fate and transport data, access to real time predictions, and our ongoing efforts to harvest and curate available experimental data from the literature and online databases. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.US-EPA CompTox Chemicals Dashboard providing access to experimental and predi...
US-EPA CompTox Chemicals Dashboard providing access to experimental and predi...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
A presentation given at the Global Marine Summit at UNC Wilmington on October 9th 2019. The focus of the presentation was an overview of the EPA CompTox Chemicals Dashboard with a specific focus on providing access to data to chemicals such as algal toxins and mycotoxins. US EPA CompTox Chemicals Dashboard Data Integration Hub to Support Environmen...
US EPA CompTox Chemicals Dashboard Data Integration Hub to Support Environmen...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The iCSS CompTox Chemistry Dashboard is a publicly accessible dashboard provided by the National Center for Computation Toxicology at the US-EPA. It serves a number of purposes, including providing a chemistry database underpinning many of our public-facing projects (e.g. ToxCast and ExpoCast). The available data and searches provide a valuable path to structure identification using mass spectrometry as the source data. With an underlying database of over 720,000 chemicals, the dashboard has already been used to assist in identifying chemicals present in house dust. This poster reviews the benefits of the EPA’s platform and underlying algorithms used for the purpose of compound identification using high-resolution mass spectrometry data. Standard approaches for both mass and formula lookup are available but the dashboard delivers a novel approach for hit ranking based on functional use of the chemicals. The focus on high-quality data, novel ranking approaches and integration to other resources of value to mass spectrometrists makes the CompTox Dashboard a valuable resource for the identification of environmental chemicals. This abstract does not reflect U.S. EPA policy.Structure Identification Using High Resolution Mass Spectrometry Data and the...
Structure Identification Using High Resolution Mass Spectrometry Data and the...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The U.S. Environmental Protection Agency (EPA) Computational Toxicology Program integrates advances in biology, chemistry, and computer science to help prioritize chemicals for further research based on potential human health risks. This work involves computational and data driven approaches that integrate chemistry, exposure and biological data. As an outcome of these efforts the National Center for Computational Toxicology (NCCT) has measured, assembled and delivered an enormous quantity and diversity of data for the environmental sciences including high-throughput in vitro screening data, in vivo and functional use data, exposure models and chemical databases with associated properties. A series of software applications and databases have been produced over the past decade to deliver these data. Recent work has focused on the development of a new architecture that assembles the resources into a single platform. With a focus on delivering access to Open Data streams, web service integration accessibility and a user-friendly web application the CompTox Chemicals Dashboard provides access to data associated with ~720,000 chemical substances. These data include research data in the form of bioassay screening data associated with the ToxCast program, experimental and predicted physicochemical properties, product and functional use information and related data of value to environmental scientists. This presentation will provide an overview of the CompTox Chemicals Dashboard and its value to the community as an informational hub. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.EPA CompTox chemicals dashboard: An online resource for environmental chemists
EPA CompTox chemicals dashboard: An online resource for environmental chemists US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Researchers at the EPA’s National Center for Computational Toxicology integrate advances in biology, chemistry, and computer science to examine the toxicity of chemicals and help prioritize chemicals for further research based on potential human health risks. The intention of this research program is to quickly evaluate thousands of chemicals for potential risk but with much reduced cost relative to historical approaches. This work involves computational and data driven approaches including high-throughput screening, modeling, text-mining and the integration of chemistry, exposure and biological data. We have developed a number of databases and applications that are delivering on the vision of developing a deeper understanding of chemicals and their effects on exposure and biological processes that are supporting a large community of scientists in their research efforts. This presentation will provide an overview of our work to bring together diverse large scale data from the chemical and biological domains, our approaches to integrate and disseminate these data, and the delivery of models supporting computational toxicology. This abstract does not reflect U.S. EPA policy.Delivering The Benefits of Chemical-Biological Integration in Computational T...
Delivering The Benefits of Chemical-Biological Integration in Computational T...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
A presentation given at the 5th Metabolomics of North America webinar on September 8th 2023. Provides an overview of the cheminformatics support provided by the DSSTox database, CompTox Chemicals Dashboard and multiple other web-based applications in development Cheminformatics Support for MS Supporting Exposomics
Cheminformatics Support for MS Supporting ExposomicsUS Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
In recent years, the growth of scientific data and the increasing need for data sharing and collaboration in the field of environmental chemistry has led to the creation of various software and databases that facilitate research and development into the safety and toxicity of chemicals. The US-EPA Center for Computational Toxicology and Exposure has been developing software and databases that have served the chemistry community for many years. Several web-based software applications have been developed at the US-EPA and made available to the community to provide access to information regarding mycotoxins. This includes related structures, experimental and predicted properties, hazard data and mass spectrometry analytical data and methods. While the primary software application from the Center is the CompTox Chemicals Dashboard almost a dozen proof-of-concept applications have been built serving various capabilities. The publicly accessible Cheminformatics Modules (https://www.epa.gov/chemical-research/cheminformatics) provides access to modules to allow for hazard comparison for sets of chemicals, structure-substructure-similarity searching and batch QSAR prediction of both physicochemical and toxicity endpoints. This presentation will provide an overview of all tools in development that provide access to mycotoxin related data and the integrated nature of the applications based on the underlying chemistry data set. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.Data delivery from the US-EPA Center for Computational Toxicology and Exposur...
Data delivery from the US-EPA Center for Computational Toxicology and Exposur...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
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High resolution mass spectrometry (HRMS) and non-targeted analysis (NTA) are of increasing interest in chemical forensics for the identification of emerging contaminants and chemical signatures of interest. At the US Environmental Protection Agency, our research using HRMS for non-targeted and suspect screening analyses utilizes databases and cheminformatics approaches that are applicable to chemical forensics. The CompTox Chemistry Dashboard is an open chemistry resource and web-based application containing data for ~760,000 substances. Basic functionality for searching through the data is provided through identifier searches, such as systematic name, trade names and CAS Registry Numbers. Advanced Search capabilities supporting mass spectrometry include mass and formula-based searches, combined substructure-mass searches and searching experimental mass spectral data against predicted fragmentation spectra. A specific type of data mapping in the underpinning database, using “MS-Ready” structures, has proven to be a valuable approach for structure identification that links structures that can be identified via HRMS with related substances in the form of salts, and other multi-component mixtures that are available in commerce. This presentation will provide an overview of the CompTox Chemistry Dashboard and demonstrate its utility for supporting structure identification and NTA in chemical forensics. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.Applications of the US EPA’s CompTox Chemistry Dashboard to support structure...
Applications of the US EPA’s CompTox Chemistry Dashboard to support structure...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
In the domain of chemistry one of the greatest benefits to publishing research is that data can be shared. Unfortunately, the vast majority of chemical structure data associated with scientific publications remain locked up in document form, primarily in PDF files or trapped on webpages. Despite the explosive growth of online chemical databases and the overall maturity of cheminformatics platforms, many barriers stifle the exchange of chemical structures via publications. These challenges include incomplete support by accepted standards (especially InChI) for advanced stereochemistry, organometallic compounds and generic “Markush” representations, the difference between human-readable and computer-readable forms of data, and challenges with the computer representation of chemical structures. To address these obstacles to chemical structure sharing, US EPA National Center for Computational Toxicology scientists are using a combination of cheminformatics applications and online repositories to distribute chemical structure data associated with their publications. This presentation will describe how EPA-NCCT chemical structure data that is amenable to indexing and distribution are shared and highlight the benefit of open data sharing for modeling, data integration, and increasing research impact. This abstract does not reflect U.S. EPA policy.Sharing chemical structures with peer reviewed publications
Sharing chemical structures with peer reviewed publications US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
High resolution mass spectrometry (HRMS) and non-targeted analysis (NTA) are utilized to identify emerging contaminants and chemical signatures of interest detected in various media. At the US Environmental Protection Agency the CompTox Chemicals Dashboard (https://comptox.epa.gov/dashboard) is an open chemistry resource and web-based application containing data for ~900,000 substances and supports non-targeted and suspect screening analyses. Searching functionality includes identifier searches (e.g. systematic names, trade names and CAS Registry Numbers), mass and formula-based searches and prototype developments include combined substructure-mass/formula searches and searching experimental mass spectral data against predicted fragmentation spectra. A specific type of data mapping in the database uses “MS-Ready” structures, a way to process all registered substances to separate multi-component chemicals into their individual components, removal of stereochemical bonds and desalting and neutralization. This MS-Ready processing supports batch-searching using either mass or formulae to identify candidate chemicals and their mapped substances. A number of chemical lists (https://comptox.epa.gov/dashboard/chemical_lists) have also been developed to support the identification of chemicals related to agrochemistry, specifically pesticides (both active and inert constituents), insecticides and their metabolites and environmental breakdown products). This presentation will provide an overview of how the CompTox Chemicals Dashboard supports mass spectrometry based structure identification and non-targeted analysis of chemicals in agrochemistry. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.Structure identification approaches using the EPA CompTox Chemicals Dashboard...
Structure identification approaches using the EPA CompTox Chemicals Dashboard...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The U.S. Environmental Protection Agency (EPA) Computational Toxicology Program utilizes computational and data-driven approaches that integrate chemistry, exposure and biological data to help characterize potential risks from chemical exposure. The National Center for Computational Toxicology (NCCT) has measured, assembled and delivered an enormous quantity and diversity of data for the environmental sciences, including high-throughput in vitro screening data, in vivo and functional use data, exposure models and chemical databases with associated properties. The CompTox Chemicals Dashboard website provides access to data associated with ~900,000 chemical substances. New data are added on an ongoing basis, including the registration of new and emerging chemicals, data extracted from the literature, chemicals studied in our labs, and data of interest to specific research projects at the EPA. Hazard and exposure data have been assembled from a large number of public databases and as a result the dashboard surfaces hundreds of thousands of data points. Other data includes experimental and predicted physicochemical property data, in vitro bioassay data and millions of chemical identifiers (names and CAS Registry Numbers) to facilitate searching. Other integrated modules include real-time physicochemical and toxicity endpoint prediction and an integrated search to PubMed. This presentation will provide an overview of the CompTox Chemicals Dashboard and how it has developed into an integrated data hub for environmental data. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.US-EPA Chemicals Dashboard – an integrated data hub for environmental science
US-EPA Chemicals Dashboard – an integrated data hub for environmental scienceUS Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Non-targeted analysis (NTA) uses high-resolution mass spectrometry to better understand the identity of a wide variety of chemicals present in environmental samples (and other matrices). However, data processing remains challenging due to the vast number of chemicals detected in samples, software and computational requirements of data processing, and inherent uncertainty in confidently identifying chemicals from candidate lists. Analysis of the resultant mass spectrometry information relies on cheminformatics to identify and rank chemicals and the US EPA has developed functionality within the CompTox Chemicals Dashboard (https://comptox.epa.gov/dashboard) to address challenges related to this analysis. These tools include the generation of “MS-Ready” structures to optimize database searching, retention time prediction for candidate reduction, consensus ranking using chemical metadata, and in silico MS/MS fragmentation prediction for spectral matching. Combining these tools into a comprehensive workflow improves certainty in candidate identification. This presentation will review how the CompTox Chemicals Dashboard via its flexible search capabilities, rich data for ~900,000 chemical substances, and visualization approaches within this open chemistry resource provides a freely available software tool to support structure identification and NTA. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.Non-targeted analysis supported by data and cheminformatics delivered via the...
Non-targeted analysis supported by data and cheminformatics delivered via the...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
This presentation was made to the University of North Carolina in Chapel Hill on 9/20/21. The presentation was a general introduction to cheminformatics prior to how to navigate the Dashboard.
• An introduction to the dashboard
• Substances vs structures
• Structure formats for data exchange and connectivity (SMILES, InChIs, molfiles)
• Identifiers – CASRN, chemical names, systematic names
• Data curation approaches: substance-structure ambiguity
• ChemReg: substance registration
• Data gathering for systematic reviews
• Curated lists
• Properties/Fate and Transport
• Access to Exposure Data
• Hazard data in the dashboard – ToxVal data (sourced from >40 databases, >50,000 chemicals, >900,000 data points)
• The Executive Summary of data
• Single chemical searches vs Batch searches
Introduction to Cheminformatics: Accessing data through the CompTox Chemicals...
Introduction to Cheminformatics: Accessing data through the CompTox Chemicals...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Researchers at EPA’s National Center for Computational Toxicology integrate advances in biology, chemistry, and computer science to examine the toxicity of chemicals and help prioritize chemicals for further research based on potential human health risks. The goal of this research program is to quickly evaluate thousands of chemicals, but at a much reduced cost and shorter time frame relative to traditional approaches. The data generated by the Center includes characterization of thousands of chemicals across hundreds of high-throughput screening assays, consumer use and production information, pharmacokinetic properties, literature data, physical-chemical properties as well as the predictive computational modeling of toxicity and exposure. We have developed a number of databases and applications to deliver the data to the public, academic community, industry stakeholders, and regulators. This presentation will provide an overview of our work to develop an architecture that integrates diverse large-scale data from the chemical and biological domains, our approaches to disseminate these data, and the delivery of models supporting predictive computational toxicology. In particular, this presentation will review our new publicly-accessible CompTox Dashboard as the first application built on our newly developed architecture. This abstract does not reflect U.S. EPA policy. Delivering The Benefits of Chemical-Biological Integration in Computational T...
Delivering The Benefits of Chemical-Biological Integration in Computational T...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
There is a growing need for rapid chemical screening and prioritization to inform regulatory decision-making on thousands of chemicals in the environment. We have previously used high-resolution mass spectrometry to examine household vacuum dust samples using liquid chromatography time-of-flight mass spectrometry (LC-TOF/MS). Using a combination of exact mass, isotope distribution, and isotope spacing, molecular features were matched with a list of chemical formulas from the EPA’s Distributed Structure-Searchable Toxicity (DSSTox) database. This has further developed our understanding of how openly available chemical databases, together with the appropriate searches, could be used for the purpose of compound identification. We report here on the utility of the EPA’s iCSS Chemistry Dashboard for the purpose of compound identification using searches against a database of over 720,000 chemicals. We also examine the benefits of QSAR prediction for the purpose of retention time prediction to allow for alignment of both chromatographic and mass spectral properties. This abstract does not reflect U.S. EPA policy.Environmental Chemistry Compound Identification Using High Resolution Mass Sp...
Environmental Chemistry Compound Identification Using High Resolution Mass Sp...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
There is a growing need for rapid chemical screening and prioritization to inform regulatory decision-making on thousands of chemicals in the environment. We have previously used high-resolution mass spectrometry to examine household vacuum dust samples using liquid chromatography time-of-flight mass spectrometry (LC-TOF/MS). Using a combination of exact mass, isotope distribution, and isotope spacing, molecular features were matched with a list of chemical formulas from the EPA’s Distributed Structure-Searchable Toxicity (DSSTox) database. This has further developed our understanding of how openly available chemical databases, together with the appropriate searches, could be used for the purpose of compound identification. We report here on the utility of the EPA’s iCSS Chemistry Dashboard for the purpose of compound identification using searches against a database of over 720,000 chemicals. We also examine the benefits of QSAR prediction for the purpose of retention time prediction to allow for alignment of both chromatographic and mass spectral properties. This abstract does not reflect U.S. EPA policy.The EPA iCSS Chemistry Dashboard to Support Compound Identification Using Hig...
The EPA iCSS Chemistry Dashboard to Support Compound Identification Using Hig...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The US EPA’s CompTox Chemicals Dashboard (https://comptox.epa.gov/dashboard) is a freely available web-based application providing access to data for ~900,000 chemical substances, the majority of these represented as chemical structures. The Dashboard also provides access to segregated lists of chemicals that are of specific interest to relevant stakeholders and, in particular, a list of hundreds of disinfection by-product (DBP) chemicals reported in the literature and detected in the laboratory using mass spectrometric techniques. Many of these chemicals are explicit chemical structures whose structures have been confirmed using purchased or synthesized reference standards. However, some of these chemicals may be ambiguous in nature with no explicit positional isomers being possible to define but the formula and mass spec fragmentation sufficient to define a class of chemicals (e.g. dichlorophenol). Such chemicals may be represented with ambiguous chemical structure forms, so-called Markush structures, and mapped to the individual class members. Chemicals accessible via the Dashboard can include access to a wide array of computed and measured physicochemical properties, in vitro high-throughput screening data and in vivo toxicity data, product use information extracted from safety data sheets, and integrated chemical linkages to a growing list of literature, toxicology, and analytical chemistry websites. Since DBP chemicals are primarily identified using mass spectrometric techniques specific search types have been developed to directly support the non-targeted screening community, enabling cohesive workflows to support data generation for the detection and assessment of environmental exposures to chemicals contained within the database. This presentation will provide an overview of the Dashboard, the ongoing expansion of the DBP chemical list and specific functionality supporting identification of DBPs by mass spectrometry. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.Web-based access to data for >600 disinfection by-products via the EPA CompTo...
Web-based access to data for >600 disinfection by-products via the EPA CompTo...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Presentation for Texas A&M Superfund Research Center virtual learning series, Big Data in Environmental Science and Toxicology. More details at https://superfund.tamu.edu/big-data-session-2-aug-18-2021/New Approach Methods - What is That?
New Approach Methods - What is That?US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The U.S. Environmental Protection Agency (EPA) Computational Toxicology Program utilizes computational and data-driven approaches that integrate chemistry, exposure and biological data to help characterize potential risks from chemical exposure. The National Center for Computational Toxicology (NCCT) has measured, assembled and delivered an enormous quantity and diversity of data for the environmental sciences, including high-throughput in vitro screening data, in vivo and functional use data, exposure models and chemical databases with associated properties. The CompTox Chemicals Dashboard website provides access to data associated with ~900,000 chemical substances. New data are added on an ongoing basis, including the registration of new and emerging chemicals, data extracted from the literature, chemicals studied in our labs, and data of interest to specific research projects at the EPA. Hazard and exposure data have been assembled from a large number of public databases and as a result the dashboard surfaces hundreds of thousands of data points. Other data includes experimental and predicted physicochemical property data, in vitro bioassay data for over 4000 chemicals and 2000 assays, and millions of chemical identifiers (names and CAS Registry Numbers) to facilitate searching. Other integrated modules include an interactive read-across module, real-time physicochemical and toxicity endpoint prediction and an integrated search to PubMed. This presentation will provide an overview of the latest release of the CompTox Chemicals Dashboard and how it has developed into an integrated data hub for environmental data. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.US-EPA CompTox Chemicals Dashboard – integrating chemistry and biology data t...
US-EPA CompTox Chemicals Dashboard – integrating chemistry and biology data t...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
EPA’s National Center for Computational Toxicology is developing automated workflows for curating large databases within the DSSTox project, and providing accurate linkages of data to chemical structures, exposure and hazard information. The data are made available via the EPA’s CompTox Chemistry Dashboard (https://comptox.epa.gov/dashboard), a publicly accessible website providing access to data for ~760,000 chemical substances, the majority of these represented as chemical structures. The web application delivers a wide array of computed and measured physicochemical properties, in vitro high-throughput screening data and in vivo toxicity data, as well as integrated chemical linkages to a growing list of literature, toxicology, and analytical chemistry websites. In addition, several specific search types are in development to directly support the mass spectrometry non-targeted screening community, enabling cohesive workflows to support data generation for the detection and assessment of environmental exposures to chemicals contained within DSSTox. The application provides access to segregated lists of chemicals that are of specific interest to relevant stakeholders, including, for example, scientists interested in Per- & Polyfluoroalkyl Substances (PFAS). Added lists include those sourced from the European Union as well as developed in-house and now containing thousands of chemicals. A procured testing library of hundreds of PFAS chemicals annotated into chemical categories has been integrated into the dashboard with a number of resulting benefits: a searchable database of chemical properties, with hazard and exposure predictions, and links to the open literature. This presentation will provide an overview of the dashboard, the developing library of PFAS chemicals and associated categorization, and new physicochemical property and environmental fate and transport QSAR prediction models developed for these chemicals. The application of the dashboard to support mass spectrometry non-targeted analysis studies for the identification of PFAS chemicals will also be reviewed. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.Accessing information for Per- & Polyfluoroalkyl Substances using the US EPA ...
Accessing information for Per- & Polyfluoroalkyl Substances using the US EPA ...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The internet has changed the way we access chemistry data as well as providing access to data that can quickly proliferate and becomes referenceable. Web access to chemical structures and their integration with biological data has become massively enabling with numbers for UniChem, PubChem and ChemSpider reaching 157, 97 and 71 million respectively (at the time of writing). A range of specialist databases small enough to be curated have stand-alone utility and synergies when integrated into the larger collections. These include DrugBank, BindingDB, ChEBI, and many others. Databases of any size have inherent quality challenges but at large scale various forms of “noise” accumulate to problematic levels. The unfortunate consequence is that “bigger gets worse”. This is particularly associated with large uncurated submissions from vendors and automated document extractions (even though these are high-value). Virtual enumerations and circularity between overlapping sources add to the problem. As a result of some of the noise in the larger databases the value becomes highly dependent on the specific applications. An example includes using the databases to support non-targeted analysis. This presentation covers examples of these noise and quality issues and suggests at least some options to ameliorate the problem. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency. Does bigger mean better in the world of chemistry databases?
Does bigger mean better in the world of chemistry databases? US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Access to both experimental and predicted environmental fate and transport data is facilitated by the US-EPA CompTox Chemicals Dashboard. Providing access to various types of data associated with ~900,000 chemical substances, the dashboard is a web-based application supporting computational toxicology research in environmental chemistry. When experimental physicochemical and fate and transport data are not available, QSAR models developed using curated datasets are used for the prediction of properties. These include: bioaccumulation factors, bioconcentration factors, and biodegradation and fish biotransformation half-lives. For chemicals of interest that are not already registered in the dashboard real-time predictions based on structural inputs are available. This presentation will provide an overview of the dashboard with a focus on the availability of environmental fate and transport data, access to real time predictions, and our ongoing efforts to harvest and curate available experimental data from the literature and online databases. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.US-EPA CompTox Chemicals Dashboard providing access to experimental and predi...
US-EPA CompTox Chemicals Dashboard providing access to experimental and predi...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
A presentation given at the Global Marine Summit at UNC Wilmington on October 9th 2019. The focus of the presentation was an overview of the EPA CompTox Chemicals Dashboard with a specific focus on providing access to data to chemicals such as algal toxins and mycotoxins. US EPA CompTox Chemicals Dashboard Data Integration Hub to Support Environmen...
US EPA CompTox Chemicals Dashboard Data Integration Hub to Support Environmen...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The iCSS CompTox Chemistry Dashboard is a publicly accessible dashboard provided by the National Center for Computation Toxicology at the US-EPA. It serves a number of purposes, including providing a chemistry database underpinning many of our public-facing projects (e.g. ToxCast and ExpoCast). The available data and searches provide a valuable path to structure identification using mass spectrometry as the source data. With an underlying database of over 720,000 chemicals, the dashboard has already been used to assist in identifying chemicals present in house dust. This poster reviews the benefits of the EPA’s platform and underlying algorithms used for the purpose of compound identification using high-resolution mass spectrometry data. Standard approaches for both mass and formula lookup are available but the dashboard delivers a novel approach for hit ranking based on functional use of the chemicals. The focus on high-quality data, novel ranking approaches and integration to other resources of value to mass spectrometrists makes the CompTox Dashboard a valuable resource for the identification of environmental chemicals. This abstract does not reflect U.S. EPA policy.Structure Identification Using High Resolution Mass Spectrometry Data and the...
Structure Identification Using High Resolution Mass Spectrometry Data and the...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The U.S. Environmental Protection Agency (EPA) Computational Toxicology Program integrates advances in biology, chemistry, and computer science to help prioritize chemicals for further research based on potential human health risks. This work involves computational and data driven approaches that integrate chemistry, exposure and biological data. As an outcome of these efforts the National Center for Computational Toxicology (NCCT) has measured, assembled and delivered an enormous quantity and diversity of data for the environmental sciences including high-throughput in vitro screening data, in vivo and functional use data, exposure models and chemical databases with associated properties. A series of software applications and databases have been produced over the past decade to deliver these data. Recent work has focused on the development of a new architecture that assembles the resources into a single platform. With a focus on delivering access to Open Data streams, web service integration accessibility and a user-friendly web application the CompTox Chemicals Dashboard provides access to data associated with ~720,000 chemical substances. These data include research data in the form of bioassay screening data associated with the ToxCast program, experimental and predicted physicochemical properties, product and functional use information and related data of value to environmental scientists. This presentation will provide an overview of the CompTox Chemicals Dashboard and its value to the community as an informational hub. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.EPA CompTox chemicals dashboard: An online resource for environmental chemists
EPA CompTox chemicals dashboard: An online resource for environmental chemists US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Researchers at the EPA’s National Center for Computational Toxicology integrate advances in biology, chemistry, and computer science to examine the toxicity of chemicals and help prioritize chemicals for further research based on potential human health risks. The intention of this research program is to quickly evaluate thousands of chemicals for potential risk but with much reduced cost relative to historical approaches. This work involves computational and data driven approaches including high-throughput screening, modeling, text-mining and the integration of chemistry, exposure and biological data. We have developed a number of databases and applications that are delivering on the vision of developing a deeper understanding of chemicals and their effects on exposure and biological processes that are supporting a large community of scientists in their research efforts. This presentation will provide an overview of our work to bring together diverse large scale data from the chemical and biological domains, our approaches to integrate and disseminate these data, and the delivery of models supporting computational toxicology. This abstract does not reflect U.S. EPA policy.Delivering The Benefits of Chemical-Biological Integration in Computational T...
Delivering The Benefits of Chemical-Biological Integration in Computational T...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
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Does bigger mean better in the world of chemistry databases?
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US-EPA CompTox Chemicals Dashboard providing access to experimental and predi...
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EPA CompTox chemicals dashboard: An online resource for environmental chemists
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Similar to Development of a Tool for Systematic Integration of Traditional and New Approach Methods for Prioritizing Chemical Lists
A presentation given at the 5th Metabolomics of North America webinar on September 8th 2023. Provides an overview of the cheminformatics support provided by the DSSTox database, CompTox Chemicals Dashboard and multiple other web-based applications in development Cheminformatics Support for MS Supporting Exposomics
Cheminformatics Support for MS Supporting ExposomicsUS Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
In recent years, the growth of scientific data and the increasing need for data sharing and collaboration in the field of environmental chemistry has led to the creation of various software and databases that facilitate research and development into the safety and toxicity of chemicals. The US-EPA Center for Computational Toxicology and Exposure has been developing software and databases that have served the chemistry community for many years. Several web-based software applications have been developed at the US-EPA and made available to the community to provide access to information regarding mycotoxins. This includes related structures, experimental and predicted properties, hazard data and mass spectrometry analytical data and methods. While the primary software application from the Center is the CompTox Chemicals Dashboard almost a dozen proof-of-concept applications have been built serving various capabilities. The publicly accessible Cheminformatics Modules (https://www.epa.gov/chemical-research/cheminformatics) provides access to modules to allow for hazard comparison for sets of chemicals, structure-substructure-similarity searching and batch QSAR prediction of both physicochemical and toxicity endpoints. This presentation will provide an overview of all tools in development that provide access to mycotoxin related data and the integrated nature of the applications based on the underlying chemistry data set. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.Data delivery from the US-EPA Center for Computational Toxicology and Exposur...
Data delivery from the US-EPA Center for Computational Toxicology and Exposur...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
As part of its mission the Center for Computational Toxicology and Exposure (CCTE) delivers access to chemicals related data via online Dashboards. The CompTox Chemicals Dashboard (available at https://comptox.epa.gov/dashboard) provides access to >900,000 chemicals and associated data including experimental and predicted property data, in vivo hazard data, in vitro bioactivity data, exposure data, and various other data types. The application provides a set of flexible searches allowing for search, visualization and downloads of the data to the desktop for further interrogation. This presentation will provide an overview of the Dashboard and other proof-of-concept applications that are now publicly available (https://www.epa.gov/chemical-research/cheminformatics). For example, the Hazard Comparison module (shown in the figure below) allows profiling of chemicals based on toxicity types (https://doi.org/10.1007/s10098-019-01795-w). This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.Accessing Environmental Chemistry Data via Data Dashboards
Accessing Environmental Chemistry Data via Data Dashboards US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Mass spectrometry analyses at the US-EPA, especially non-targeted analysis studies, are highly dependent on the cheminformatics efforts which have been underway within the agency for almost a decade. These research efforts have resulted in a rich data infrastructure based on the DSSTox database, data integration approaches based on a structure standardization approach to produce “MS-ready” structures, and a number of supporting data types to facilitate ranking of non-targeted analysis candidates. This presentation will provide an overview of all tools in development and the integrated nature of the applications based on the underlying chemistry data. This includes the development of the underlying chemistry database of >1.2 million chemical substances (DSSTox), approaches to structure standardization to facilitate structure-substance mapping, development of a spectral database of >150,000 spectra for >25,000 chemicals, a database of >3000 analytical methods, prediction models for LCMS amenability, and an application for the profiling of toxicity hazards for batches of chemical substances. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.Cheminformatics tools and chemistry data underpinning mass spectrometry analy...
Cheminformatics tools and chemistry data underpinning mass spectrometry analy...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
This presentation was given at Proctor and Gamble in Mason, OH, in June 2017 in a symposium regarding "Big Data: Perspectives from Diverse Fields on How to Extract, Filter and Manipulate Large Data Sets to Answer Scientific Questions"Progress in Using Big Data in Chemical Toxicity Research at the National Cent...
Progress in Using Big Data in Chemical Toxicity Research at the National Cent...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Read-across, a popular data gap filling technique, traditionally relies on a thorough expert assessment. This approach can lead to inconsistent predictions, has limitations in terms of the numbers of chemicals that can be evaluated and offers little insight into the generalizability of the approach or its performance. We sought to evaluate the baseline performance of read-across for a large set of chemicals in a systematic, objective and reproducible manner and to provide quantitative measures of uncertainty for the predictions derived. The approach developed, generalized read-across (GenRA), relies on chemical descriptor information and/or in vitro bioactivity data (from ToxCast high throughput screening data) to derive read-across predictions of effects observed in in vivo repeat-dose toxicity studies. A web-based GenRA tool was then developed anchored around the established category workflow and a dynamic grid interface structure. The default starting point is identifying source analogues with associated in vivo data on the basis of chemical fingerprints. The next step is to analyze the scope and quantity of available data (both in vitro and in vivo). The third step generates a data matrix in order to evaluate the analogues – in terms of their consistency and concordance of effects across the different toxicity effects. The final steps involve generating a GenRA prediction and exporting the predictions. Here we describe the functionality and features of the GenRA web application which has recently been released as a new feature in the US EPA CompTox Chemistry Dashboard. Users are able to search the dashboard for a substance of interest, browse available information including toxicity information and then derive GenRA predictions. GenRA offers a novel and practical means of being able to perform objective read-across that can be helpful in screening level hazard assessments. This abstract does not necessarily represent U.S. EPA policy.Translating research into practical tools: A case study of GenRA, a new read...
Translating research into practical tools: A case study of GenRA, a new read...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Tens of thousands of chemicals are currently in commerce, and hundreds more are introduced every year. Because current chemical testing is resource intensive, only a small fraction of chemicals have been adequately evaluated for potential human health effects. New technologies and computational tools have shown promise for closing this knowledge gap. In the U.S. EPA’s ToxCast effort, the use of ~700 high-throughput in vitro assays has broadly characterized the biological activity and potential mechanisms of ~1,800 chemicals. Coupling the high-throughput in vitro assays with additional in vitro pharmacokinetic assays and in vitro-to-in vivo extrapolation modeling allows conversion of in vitro bioactive concentrations to estimates to an administered dose (mg/kg/day). High throughput exposure models are generating exposure estimates based on key aspects of chemical production, fate, transport, and personal use. The path for incorporating new approach methods and technologies for prioritization and assessment of chemical alternatives poses multiple scientific challenges. These challenges include sufficient coverage of toxicological mechanisms to meaningfully interpret negative test results, development of increasingly relevant test systems, computational modeling to integrate experimental data, characterizing uncertainty, and efficient validation of the test systems and computational models. The presentation will cover progress at the U.S. EPA in the development and application of these technologies and approaches in evaluating alternatives and systematically addressing each of these challenges. This abstract does not necessarily reflect U.S. EPA policy.Incorporating new technologies and High Throughput Screening in the design an...
Incorporating new technologies and High Throughput Screening in the design an...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The Center for Computational Toxicology and Exposure (CCTE) is part of the Office of Research and Development at the US Environmental Protection Agency. As part of its mission the center delivers access to chemicals related data via web-based freely accessible online Dashboards to disseminate data generated within the center as well as harvested and integrated from open databases around the world. The CompTox Chemicals Dashboard (available at https://comptox.epa.gov/dashboard) provides access to >1.2 million chemicals and associated data including experimental and predicted property data, in vivo hazard data, in vitro bioactivity data, exposure data, and various other data types. The curation of the chemicals dataset has included the development of over 400 segregated lists of chemicals that represent specific research areas of interest including disinfectant by-products, per- and polyfluoroalkyl substances (PFAS), extractables and leachables, and chemicals of emerging concern. The chemicals collection, the associated data, the lists and searches for mass and formulae makes the Dashboard an ideal foundation technology to support our colleagues working in the field of mass spectrometry, especially in targeted and non-targeted analysis. This presentation will provide an overview of the Dashboard, its value to the community in terms of providing access to the integrated and highly curated data, and its utility to support researchers in the field of mass spectrometry. New proof-of-concept projects will also be introduced including the development of a cheminformatics enabled methods database. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.Accessing Environmental Chemistry Data via Data Dashboards and Applications t...
Accessing Environmental Chemistry Data via Data Dashboards and Applications t...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Analytical methods can vary in nature from detailed regulatory methods to more summary in nature. Regulatory method documents can include details of analytes which can be studied, supported matrices, reagents, methodological details, statistical performance, interlaboratory validation and other details. Summary methods provide a general overview of reagents, instrumentation and commonly a short list of analytes. Regulatory bodies including the US Environmental Protection Agency (US-EPA), US Geological Survey (USGS), US Department of Agriculture (USDA) and others provide detailed analytical methods and collections of summary methods from the agrochemical industry, such as the US-EPA Environmental Chemistry Methods (https://www.epa.gov/pesticide-analytical-methods/environmental-chemistry-methods-ecm). Instrument vendors also provide access to many hundreds of application notes which can be considered as summary methods. We have developed a cheminformatically enabled database of methods whereby chemicals have been extracted from the methods, with the identifiers (names and/or chemical abstracts registry numbers) mapped to chemical structures. The resulting database of almost 3000 methods can be searched by chemical name, CASRN, structure and similarity of chemical structure. The resulting database has been integrated into a web-based application and includes integration to public domain mass spectral data and filtering of the methods based on analyte, chemical class, method source and other related metadata. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.Using Cheminformatics Approaches to Develop a Structure Searchable Database o...
Using Cheminformatics Approaches to Develop a Structure Searchable Database o...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
This presentation was given at the XPAND2022 Annual Meeting for the Household & Commercial Products Association and focused non-targeted analysis mass spectrometry and applications of the CompTox Chemicals Dashboard.Integrating Mass Spectrometry Non-Targeted Analysis and Computational Chemis...
Integrating Mass Spectrometry Non-Targeted Analysis and Computational Chemis...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The EPA CompTox Chemistry Dashboard provides access to data associated with ~760,000 chemical substances. The available data includes experimental and predicted physicochemical properties, environmental fate and transport data, in vivo and in silico toxicity data, in vitro bioassay data, exposure data and a variety of other types of information. The data are under continuous expansion and curation and the experimental data have been used to develop QSAR and QSPR models. A number of these models are available via a web interface so that users can submit a chemical structure and predict properties in real time. The dashboard also provides access to pre-compiled chemical lists and categories, including pesticides, and chemicals detected in the environment via non-targeted mass spectrometry analysis. The data are searchable using chemical identifiers (systematic names, trade names, CAS Registry Numbers), by structure, mass and formula. Batch searches allow for data associated with thousands of chemicals to be obtained in a few seconds, with just a few button clicks, and downloaded to the desktop. This presentation will provide an overview of the Dashboard and its applications to accessing source data associated with agriculturally related chemicals. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.Web-based access to experimental and predicted data for environmental fate, t...
Web-based access to experimental and predicted data for environmental fate, t...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
As part of our efforts to develop a public platform to provide access to predictive models we have attempted to disentangle the influence of the quality versus quantity of data available to develop and validate QSAR models. Using a thorough manual review of the data underlying the well-known EPI Suite software, we developed automated processes for the validation of the data using a KNIME workflow. This includes: approaches to validate different chemical structure representations (e.g. molfile and SMILES), identifiers (chemical names and registry numbers), and methods to standardize the data into QSAR-consumable formats for modeling. Our efforts to quantify and segregate data into various quality categories has allowed us to thoroughly investigate the resulting models developed from these data slices, as well as allowing us to examine whether or not efforts into the development of large high-quality datasets has the expected pay-off in terms of prediction performance. Machine-learning approaches have been applied to create a series of models that have been used to generate predicted physicochemical and environmental parameters for over 700,000 chemicals. These data are available online via the EPA’s iCSS Chemistry Dashboard. This abstract does not reflect U.S. EPA policy.The EPA Online Prediction Physicochemical Prediction Platform to Support Envi...
The EPA Online Prediction Physicochemical Prediction Platform to Support Envi...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
This presentation was given at the "Department of Defense's (DoD) Energy and Environment Innovation Symposium" in Arlington, Virginia on December 1st 2023 (https://serdp-estcp.org/events/details/04d444f1-aa19-4e66-bb5c-5163964cc4dd/symposium-2023)US-EPA Cheminformatics Support for Delivering Data Related to Chemicals of E...
US-EPA Cheminformatics Support for Delivering Data Related to Chemicals of E...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The U.S. Environmental Protection Agency (EPA) Computational Toxicology Program integrates advances in biology, chemistry, and computer science to help prioritize chemicals for further research based on potential human health risks. This work involves computational and data driven approaches that integrate chemistry, exposure and biological data. As an outcome of these efforts the National Center for Computational Toxicology (NCCT) has measured, assembled and delivered an enormous quantity and diversity of data for the environmental sciences including high-throughput in vitro screening data, in vivo and functional use data, exposure models and chemical databases with associated properties. A series of software applications and databases have been produced over the past decade to deliver these data but recent developments have focused on the development of a new software architecture that assembles the resources into a single platform. A new web application, the CompTox Chemistry Dashboard provides access to data associated with ~720,000 chemical substances. These data include experimental and predicted physicochemical property data, bioassay screening data associated with the ToxCast program, product and functional use information and a myriad of related data of value to environmental scientists.
The dashboard provides chemical-based searching based on chemical names, synonyms and CAS Registry Numbers. Flexible search capabilities allow for chemical identification based on non-targeted analysis studies using mass spectrometry. Chemical identification using both mass and formula-based searching utilizes rank-ordering of results via functional use statistics, thereby providing a solution to help prioritize chemicals for further review when detected in environmental media.
This presentation will provide an overview of the CompTox Dashboard, its capabilities for delivering data to the environmental toxicology community and how the architecture provides a foundation for the development of additional applications to support chemical risk assessment. This abstract does not reflect U.S. EPA policy.
The EPA Comptox Chemistry Dashboard: A Web-Based Data Integration Hub for Tox...
The EPA Comptox Chemistry Dashboard: A Web-Based Data Integration Hub for Tox...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
This presentation was given at a TRIANGLE AREA MASS SPECTOMETRY meeting on 01/29/2019 in Research Triangle Park, North Carolina to provide a general overview of the CompTox Chemicals Dashboard to an audience of mass spectrometrists and people interested in the capabilities of the dashboard for chemical forensics, structure identification etc.TRIANGLE AREA MASS SPECTOMETRY MEETING: Structure Identification Approaches U...
TRIANGLE AREA MASS SPECTOMETRY MEETING: Structure Identification Approaches U...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
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Development of a Tool for Systematic Integration of Traditional and New Approach Methods for Prioritizing Chemical Lists
- 1. Development of a Tool for Integrating Traditional and New Approach Methodologies (NAMs) for Chemical Safety Decisions Antony Williams, Richard Judson, Chris Grulke and Rusty Thomas National Center for Computational Toxicology, U.S. Environmental Protection Agency, RTP, NC March 2018 ACS Spring Meeting, New Orleans http://www.orcid.org/0000-0002-2668-4821 The views expressed in this presentation are those of the author and do not necessarily reflect the views or policies of the U.S. EPA
- 2. • National Center for Computational Toxicology (NCCT) established in 2005 to integrate: – High-throughput and high-content technologies – Molecular biology – Data mining and statistical modeling – Computational biology and chemistry • Outputs: a lot of data, models, algorithms and software applications • Open Data – we want scientists to interrogate it, learn from it, develop understanding National Center for Computational Toxicology
- 3. Background • EPA must designate a set of high-priority chemicals for detailed risk assessment. • NCCT is building a web-based tool as one approach to help guide that selection 2
- 4. The CompTox Chemistry Dashboard • NCCT has lots of data to build relevant tools and approaches. The source data are available via the CompTox Chemistry Dashboard • A publicly accessible website delivering access: – ~760,000 chemicals with related property data – Experimental and predicted physicochemical property data – Integration to “biological assay data” for 1000s of chemicals – Data regarding chemical exposure – Links to other agency websites and public data resources – “Literature” searches for chemicals using public resources – “Batch searching” for thousands of chemicals 3
- 7. In Vitro Bioassay Screening ToxCast and Tox21 6
- 8. Sources of Exposure to Chemicals 7
- 9. Approach • Use available data for in vivo, in vitro, exposure and chemical property data • Develop scoring schemes to merge different types of data • Develop methods to note or fill data gaps • Make data, scores, prioritization ranking available in the web-based tool 8
- 10. Potential Data Sources In Vivo Human Hazard: • Mammalian toxicity studies – guideline-like, use POD • System-specific in vivo data (Cancer, developmental) • Models (QSAR) to predict POD and organ-specific effects • Genotoxicity • In vitro-derived endocrine disruption and neurotoxicity models In Vivo Eco Hazard • Aquatic in vivo studies – POD • Models (QSAR) of POD 9
- 11. Human Exposure • Data on production volume and releases • Quantitative biomonitoring data • Predictions of oral and inhalation exposure Eco Exposure • Biomonitoring data • Predictions of water concentrations Physchem • Persistence and Bioaccumulation models (OPERA) 10 Potential Data Sources
- 12. Aggregating Data 11 DOMAINS: Top level aggregation for reporting in the web-interface SUB-DOMAINS: Additional aggregation layer(s) to support flexible aggregation workflows ENDPOINTS: Aggregation of data streams that are intended to estimate the same value DATA STREAMS: Individual values coming from a single source that are of interest in prioritization. DATABASES: Active database projects at US EPA can act as sources for data streams Human Hazard Persistence Acute Chronic Sub-Chronic Endocrine Biotrans. Bioaccum. BAF BCF Fish Km Biodeg. Acute POD ER Binding In Vivo Rat LD50 T.E.S.T Rat LD50 Tox21 ERa Antagonist CERAPP Predictions In Vivo BCF OPERA BCF ChemProp ToxVal ToxCast ECOTOX
- 13. Scoring approaches • For each chemical, each domain receives a score of 1 (Low), 2 (Moderate), or 3 (High) concern • Hazard score = maximum of human and eco hazard scores • Exposure score = maximum of human and eco exposure scores • Total score = hazard score + exposure score + physchem score • If no data is available for a domain, it is given the “missing data score”, currently 1 (Low) • Scoring can include or exclude NAM 12
- 14. Implemented Scoring Methods 13 Method 1 Method 2: NAM Equal Method 3: NAM Deferential • Maximum score from human and eco hazard: 1 – 3 • Maximum score from human and eco exposure: 1 – 3 • Maximum score from persistence/ bioaccumulation (P/B): 1 – 3 • No NAM • Add hazard, exposure, and P/B • Categorical bins • High: 7-9 • Moderate: 5-6 • Low: 3-4 • Same as Method 1 except NAM is incorporated with equal weighting in all domains • Add hazard, exposure, and P/B • Categorical bins • High: 7-9 • Moderate: 5-6 • Low: 3-4 • Same as Method 1 except human hazard NAM is incorporated in the absence of traditional in vivo studies • In other domains, NAM is given equal weight. • Add hazard, exposure, and P/B • Categorical bins • High: 7-9 • Moderate: 5-6 • Low: 3-4 Method 4: Sum of Scores Method 5: H/BER* • Sum all components (incl. NAM) from human and eco hazard • Sum all components (incl. NAM) from human and eco exposure • Sum all components (incl. NAM) from persistence/ bioaccumulation • Add hazard, exposure, and P/B • Categorical bins • High: >30 • Medium: 10-30 • Low: ≤10 • Ratio of the minimum effect level from in vivo toxicity studies or the quantitative human hazard NAM data divided by the maximum oral exposure • Categorical bins • High: ≤104 • Medium: 104 – 106 • Low: ≥106 *Hazard/Bioactivity Exposure Ratio
- 16. Fraction of chemicals in each bin 15 High Pre-Priority Moderate Pre-Priority Low Pre-Priority General NAM Equal NAM Differential Sum of Scores H/BER Set 1 (344) Set 2 (867) (233/867) (222/344)
- 17. Heat Maps 16 Chemicals Human Hazard Eco Hazard Human Exposure Eco Exposure Persistence /Bioaccum Human Hazard Eco Hazard Human Exposure Eco Exposure Persistence /Bioaccum Heatmaps showing the domain-specific scores for chemical sets. High Score (3) Moderate Score (2) Low Score (1) No Data
- 18. Registration and Curation of Chemicals • Consolidation and registration of the original chemical lists into the underlying database (DSSTox) • Careful (and time-consuming) curation – Confirming mappings of chemical names and CASRNs 17
- 19. Names to CASRN Mappings 18
- 21. Registration and Curation • Registration of the chemical list into the underlying database (DSSTox) • Careful (and time-consuming) curation – Confirming mappings of chemical names and CASRNs – CASRN checking – Active, Alternate and Deleted 20
- 23. Registration and Curation • Registration of the chemical list into the underlying database (DSSTox) • Careful (and time-consuming) curation – Confirming mappings of chemical names and CASRNs – CASRN checking – Active, Alternate and Deleted – Misspellings, alternative synonyms, misassociations 22
- 25. UVCB Chemicals • UVCBs are chemical substances of unknown or variable composition, complex reaction products and biological materials – Surfactants (C11-14 linear alkyl sulfonates) – Reaction mass of p-t-butylphenyldiphenyl phosphate and bis(p-t-butylphenyl)phenyl phosphate and triphenyl phosphate – Almond Oil 24
- 28. Summary • RapidTox workflow enabled identification of data that contributed most to candidate selection • Allowed flexible exploration of prioritization methods • Incorporation of NAM data does result in changes for chemical test sets, either by adding data or by changing the overall bin (Low, Moderate, High) 27
- 29. Acknowledgments • The NCCT CompTox Chemistry Dashboard Development Team • Kamel Mansouri – OPERA models • Todd Martin – TEST predictions 28
- 30. Contact Antony Williams US EPA Office of Research and Development National Center for Computational Toxicology (NCCT) Williams.Antony@epa.gov ORCID: https://orcid.org/0000-0002-2668-4821 29