AMOS: the EPA database of analytical methods and open mass spectral database supporting non-targeted analysis
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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. Agencies 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 4000 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.
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Drug discovery and development is a long and expensive process and over time has notoriously bucked Moore’s law that it now has its own law called Eroom’s Law named after it (the opposite of Moore’s). It is estimated that the attrition rate of drug candidates is up to 96% and the average cost to develop a new drug has reached almost $2.5 billion in recent years. One of the major causes for the high attrition rate is drug safety, which accounts for 30% of the failures.
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Specifically, this talk covers a variety of drug safety related AI and ML based techniques currently in use which can generally divided into 3 main categories:
1. Discovery,
2. Toxicity and Safety, and
3. Post-Market Monitoring.
We will address the recent progress in predictive models and techniques built for various toxicities. It will also cover some publicly available databases, tools and platforms available to easily leverage them.
We will also compare and contrast various modeling techniques including deep learning techniques and their accuracy using recent research. Finally, the talk will address some of the remaining challenges and limitations yet to be addressed in the area of drug discovery and safety assessment.
Consensus Models to Predict Endocrine Disruption for All Human-Exposure Chemi...
AAAS annual meeting (Boston, Feb 2017)
Humans are potentially exposed to tens of thousands of man-made chemicals in the environment. It is well known that some environmental chemicals mimic natural hormones and thus have the potential to be endocrine disruptors. Most of these environmental chemicals have never been tested for their ability to disrupt the endocrine system, in particular, their ability to interact with the estrogen receptor. EPA needs tools to prioritize thousands of chemicals, for instance in the Endocrine Disruptor Screening Program (EDSP). Collaborative Estrogen Receptor Activity Prediction Project (CERAPP) was intended to be a demonstration of the use of predictive computational models on HTS data including ToxCast and Tox21 assays to prioritize a large chemical universe of 32464 unique structures for one specific molecular target – the estrogen receptor. CERAPP combined multiple computational models for prediction of estrogen receptor activity, and used the predicted results to build a unique consensus model. Models were developed in collaboration between 17 groups in the U.S. and Europe and applied to predict the common set of chemicals. Structure-based techniques such as docking and several QSAR modeling approaches were employed, mostly using a common training set of 1677 compounds provided by U.S. EPA, to build a total of 42 classification models and 8 regression models for binding, agonist and antagonist activity. All predictions were evaluated on ToxCast data and on an external validation set collected from the literature. In order to overcome the limitations of single models, a consensus was built weighting models based on their prediction accuracy scores (including sensitivity and specificity against training and external sets). Individual model scores ranged from 0.69 to 0.85, showing high prediction reliabilities. The final consensus predicted 4001 chemicals as actives to be considered as high priority for further testing and 6742 as suspicious chemicals. The same approach is now being applied on a larger scale project to predict the potential androgen receptor (AR) activity of chemicals. This project called CoMPARA (Collaborative Modeling Project for Androgen Receptor Activity) is a collaboration between 35 international groups working on a common set of ~55k chemicals.
This abstract does not necessarily reflect U.S. EPA policy
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
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.Cheminformatics Tools to Access Data for PFAS and Constituents of Fluorine-Fr...
Cheminformatics Tools to Access Data for PFAS and Constituents of Fluorine-Fr...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
A number of cheminformatics tools have been developed in recent years in the Computational Chemistry & Cheminformatics Branch (CCCB) of the Center for Computational Toxicology and Exposure. The DSSTox chemistry database underpins all cheminformatics tools and provides the foundation for multiple Dashboards including the CompTox Chemicals Dashboard (https://comptox.epa.gov/dashboard) and the proof-of-concept Cheminformatics Tools (https://www.epa.gov/chemical-research/cheminformatics). These applications provide access to property, hazard, exposure and safety data. This presentation will give an overview of available tools and how they may serve research applications regarding fluorine-free foams. The US-EPA CompTox Chemicals Dashboard – a key player in the domain of Open S...
The US-EPA CompTox Chemicals Dashboard – a key player in the domain of Open S...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 (either commercial or open databases), fragmentation prediction tools, and retention time prediction models. One goal of our research is to optimize and implement structure identification functionality within the US EPA’s CompTox Chemicals Dashboard, an open chemistry resource and web application containing data for ~900,000 substances. Database searching using mass or formula-based inputs has been optimized for structure identification using “MS-Ready Structures”: 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 has also been implemented. While the increasing number of free online databases are of value to support chemical structure verification and elucidation there are known issues regarding data quality and careful data curation is a very necessary part of the development of these resources. This presentation will provide an overview of our latest enhancements to the dashboard to support mass spectrometry, incorporation of specific datasets (i.e. to support breath research and household dust analysis) and the value of metadata and predicted fragmentation spectral matching to support structure identification. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.Development of a Tool for Systematic Integration of Traditional and New Appro...
Development of a Tool for Systematic Integration of Traditional and New Appro...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
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.PFAS Chemistry: Range, Complexity, Groupings, and the CompTox Chemicals Dash...
PFAS Chemistry: Range, Complexity, Groupings, and the CompTox Chemicals Dash...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 Chemicals Dashboard (https://comptox.epa.gov/dashboard), a publicly accessible website providing access to data for ~880,000 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 the database. 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.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
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 ~1500 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 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.4th Annual Advancing the Pace of Chemical Risk Assessment
This presentation describes how systematic review methods and tools that harness the power of artificial intelligence can be deployed a la carte depending on scoping, planning, and problem formulation.
Multi-source connectivity as the driver of solar wind variability in the heli...
The ambient solar wind that flls the heliosphere originates from multiple
sources in the solar corona and is highly structured. It is often described
as high-speed, relatively homogeneous, plasma streams from coronal
holes and slow-speed, highly variable, streams whose source regions are
under debate. A key goal of ESA/NASA’s Solar Orbiter mission is to identify
solar wind sources and understand what drives the complexity seen in the
heliosphere. By combining magnetic feld modelling and spectroscopic
techniques with high-resolution observations and measurements, we show
that the solar wind variability detected in situ by Solar Orbiter in March
2022 is driven by spatio-temporal changes in the magnetic connectivity to
multiple sources in the solar atmosphere. The magnetic feld footpoints
connected to the spacecraft moved from the boundaries of a coronal hole
to one active region (12961) and then across to another region (12957). This
is refected in the in situ measurements, which show the transition from fast
to highly Alfvénic then to slow solar wind that is disrupted by the arrival of
a coronal mass ejection. Our results describe solar wind variability at 0.5 au
but are applicable to near-Earth observatories.
Structures and textures of metamorphic rocks
It is useful for the Under Graduating students for easy understanding and it's useful for the exam preparations.
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Accessing information for Per- & Polyfluoroalkyl Substances using the US EPA ...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.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
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.Chemistry Data Delivery from the US-EPA Center for Computational Toxicology a...
Chemistry Data Delivery from the US-EPA Center for Computational Toxicology a...US 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 serve the chemistry community for many years. This presentation will focus on several web-based software applications which have been developed at the USEPA and made available to the community. 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/chemicalresearch/cheminformatics) provides access to six individual modules to allow for hazard comparison for sets of chemicals, structure-substructure-similarity searching, structure alerts and batch QSAR prediction of both physicochemical and toxicity endpoints. A number of other applications in development include a chemical transformations database (ChET) and a database of analytical methods and open mass spectral data (AMOS). Each of these depends on the underlying DSSTox chemicals database, a rich source of chemistry data for over 1.2 million chemical substances. I will provide an overview of all tools in development and the integrated nature of the applications based on the underlying chemistry data. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.Delivering chemical-associated data via EPA web applications
Delivering chemical-associated data via EPA web applicationsUS Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
This presentation was given at the conference: "Cheminformatics Resources of U.S. Governmental Organizations" and focuses on the CompTox Chemicals Dashboard and the sharing of our data https://www.fda.gov/news-events/fda-meetings-conferences-and-workshops/cheminformatics-resources-us-governmental-organizations-05092022#event-information 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
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.Cheminformatics Support for MS Supporting Exposomics
Cheminformatics Support for MS Supporting ExposomicsUS 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 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
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.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
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.Comparison of lists of per- and polyfluoroalkyl substances (PFAS) based on di...
Comparison of lists of per- and polyfluoroalkyl substances (PFAS) based on di...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Per- and polyfluoroalkyl substances (PFAS) are a group of fluorinated substances that have generated increased public attention due to their potential health hazard and widespread presence in the environment. An attempt to define PFAS and establish standard categories was established in Buck et al. 2011. Since then, various groups, including the Organization for Economic Co-operation and Development and U.S. Environmental Protection Agency, have defined PFAS differently to serve their respective needs. The U.S. EPA’s CompTox Chemicals Dashboard is a public resource providing access to predicted or experimental data for ~900,000 chemical substances, the majority with defined structures, and with data types including hazard, bioactivity, property, and exposure data. With the increased attention given to PFAS, efforts have been dedicated to the assembly and curation of thousands of PFAS substances into the DSSTox database underlying the Dashboard. A set of more than 30 PFAS lists spanning EPA and international regulatory interests, as well as lists pertaining to research activities and analytical methods, are currently delivered via the Dashboard. Depending on the definition of what is deemed to be a PFAS, approximately 6,000 to upwards of 38,000 compounds currently in the Dashboard could be considered PFAS. We have defined an inventory of over 10,000 PFAS structures (the PFASSTRUC list) using a set of clearly defined structural filters that encompass current EPA programmatic interests. This list is serving as a benchmark for the community to apply cheminformatics approaches and better understand and survey the scope of PFAS chemistries of potential concern. PFASSTRUC was compared to several other structure-based definitions of PFAS to investigate what type of structures do and do not meet the definitions and thus what similar structures may be considered PFAS by some but not others. Such resources can help support the PFAS community to better frame the PFAS problem and aid in the development of categorization approaches for PFAS, as well as support the reporting of relevant data for the agency. Abstract does not reflect EPA policy. Integrating an Analytical Methods and Mass Spectral Database with Cheminforma...
Integrating an Analytical Methods and Mass Spectral Database with Cheminforma...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Analytical methods are generally delivered in the form of documents describing the method in terms of analytes which can be studied, supported matrices, reagents, methodological details, statistical performance, interlaboratory validation and other details. 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 for the community to adopt in their analyses. Rich sources of historical analytical data are also available for the community to access and include the US-EPA Environmental Chemistry Methods (https://www.epa.gov/pesticide-analytical-methods/environmental-chemistry-methods-ecm) provided by manufacturers from the agrochemical industry. Instrument vendors also provide access to many hundreds of application notes which can be considered as summary analytical methods, albeit descriptive of particular instruments. This poster describes a cheminformatically-enabled database of methods integrating chemicals related data, extracted from the methods, with the identifiers (names and/or chemical abstracts registry numbers (CASRNs)) mapped to chemical structures. The resulting database of almost 3000 methods can be searched by chemical name, CASRNs, 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.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
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.Drug Discovery and Development Using AI
Drug discovery and development is a long and expensive process and over time has notoriously bucked Moore’s law that it now has its own law called Eroom’s Law named after it (the opposite of Moore’s). It is estimated that the attrition rate of drug candidates is up to 96% and the average cost to develop a new drug has reached almost $2.5 billion in recent years. One of the major causes for the high attrition rate is drug safety, which accounts for 30% of the failures.
Even if a drug is approved in market, it could be withdrawn due to safety problems. Therefore, evaluating drug safety extensively as early as possible is paramount in accelerating drug discovery and development. This talk provides a high-level overview of the current process of rational drug design that has been in place for many decades and covers some of the major areas where the application of AI, Deep learning and ML based techniques have had the most gains.
Specifically, this talk covers a variety of drug safety related AI and ML based techniques currently in use which can generally divided into 3 main categories:
1. Discovery,
2. Toxicity and Safety, and
3. Post-Market Monitoring.
We will address the recent progress in predictive models and techniques built for various toxicities. It will also cover some publicly available databases, tools and platforms available to easily leverage them.
We will also compare and contrast various modeling techniques including deep learning techniques and their accuracy using recent research. Finally, the talk will address some of the remaining challenges and limitations yet to be addressed in the area of drug discovery and safety assessment.
Consensus Models to Predict Endocrine Disruption for All Human-Exposure Chemi...
AAAS annual meeting (Boston, Feb 2017)
Humans are potentially exposed to tens of thousands of man-made chemicals in the environment. It is well known that some environmental chemicals mimic natural hormones and thus have the potential to be endocrine disruptors. Most of these environmental chemicals have never been tested for their ability to disrupt the endocrine system, in particular, their ability to interact with the estrogen receptor. EPA needs tools to prioritize thousands of chemicals, for instance in the Endocrine Disruptor Screening Program (EDSP). Collaborative Estrogen Receptor Activity Prediction Project (CERAPP) was intended to be a demonstration of the use of predictive computational models on HTS data including ToxCast and Tox21 assays to prioritize a large chemical universe of 32464 unique structures for one specific molecular target – the estrogen receptor. CERAPP combined multiple computational models for prediction of estrogen receptor activity, and used the predicted results to build a unique consensus model. Models were developed in collaboration between 17 groups in the U.S. and Europe and applied to predict the common set of chemicals. Structure-based techniques such as docking and several QSAR modeling approaches were employed, mostly using a common training set of 1677 compounds provided by U.S. EPA, to build a total of 42 classification models and 8 regression models for binding, agonist and antagonist activity. All predictions were evaluated on ToxCast data and on an external validation set collected from the literature. In order to overcome the limitations of single models, a consensus was built weighting models based on their prediction accuracy scores (including sensitivity and specificity against training and external sets). Individual model scores ranged from 0.69 to 0.85, showing high prediction reliabilities. The final consensus predicted 4001 chemicals as actives to be considered as high priority for further testing and 6742 as suspicious chemicals. The same approach is now being applied on a larger scale project to predict the potential androgen receptor (AR) activity of chemicals. This project called CoMPARA (Collaborative Modeling Project for Androgen Receptor Activity) is a collaboration between 35 international groups working on a common set of ~55k chemicals.
This abstract does not necessarily reflect U.S. EPA policy
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
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.Cheminformatics Tools to Access Data for PFAS and Constituents of Fluorine-Fr...
Cheminformatics Tools to Access Data for PFAS and Constituents of Fluorine-Fr...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
A number of cheminformatics tools have been developed in recent years in the Computational Chemistry & Cheminformatics Branch (CCCB) of the Center for Computational Toxicology and Exposure. The DSSTox chemistry database underpins all cheminformatics tools and provides the foundation for multiple Dashboards including the CompTox Chemicals Dashboard (https://comptox.epa.gov/dashboard) and the proof-of-concept Cheminformatics Tools (https://www.epa.gov/chemical-research/cheminformatics). These applications provide access to property, hazard, exposure and safety data. This presentation will give an overview of available tools and how they may serve research applications regarding fluorine-free foams. The US-EPA CompTox Chemicals Dashboard – a key player in the domain of Open S...
The US-EPA CompTox Chemicals Dashboard – a key player in the domain of Open S...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
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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 Chemicals Dashboard (https://comptox.epa.gov/dashboard), a publicly accessible website providing access to data for ~880,000 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 the database. 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.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
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 ~1500 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 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.4th Annual Advancing the Pace of Chemical Risk Assessment
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AMOS: the EPA database of analytical methods and open mass spectral database supporting non-targeted analysis
- 1. AMOS: the EPA database of analytical methods and open mass spectral database supporting non-targeted analysis Gregory Janesch1, Erik Carr1, Vicente Samano2, James McCord3, Jacqueline Bangma3, Jon Sobus4 and Antony Williams4 1. ORAU Student Services Contractor 2. Senior Environmental Employment Program 3. Center for Environmental Measurement and Modeling and 4. Center for Computational Toxicology & Exposure, ALL at the U.S. Environmental Protection Agency October 2023: FDA Cheminformatics Workshop 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. Background • A huge number of openly available sources exist for spectra, documentation of analytical procedures, etc. • Search engines can easily find high-traffic sources, but maybe not niche-but-high-quality ones – Most are not “structurally-enabled” • Useful to have complementary types of data alongside each other, especially with consistent substance identifiers • Non-targeted analysis can benefit from a broad, high-quality experimental database as a reference 2
- 3. About AMOS - General • AMOS is a cheminformatics application integrating spectra and analytical methods with consistent substance identifiers • Provides mappings between substances and records (method documents, experimental spectra, etc.) • Under development for ~18 months as a “proof-of-concept”; not yet available publicly 3
- 4. About AMOS - Data • Three categories of records: – Spectra (~210,000) – Methods (~4100) – Fact Sheets (>3000) • Most data are open access, some are just external links – All data links back to the original source, if possible • Data is being continually updated (new datasets & updates) • Many chemicals of interest to EPA – PFAS, pesticides, etc. 4
- 5. About AMOS - Curation • Identifiers vary between different sources so we must curate 5 • A single chemical can have dozens of names – FTOH 10:1 – 10:1 FTOH – 10:1 Fluorotelomer alcohol – 2,2,3,3,4,4,5,5,6,6,7,7,8,8,9,9,10,10,11,11,11 -Henicosafluoroundecan-1-ol – 1-Undecanol, 2,2,3,3,4,4,5,5,6,6,7,7,8,8,9,9, 10,10,11,11,11-heneicosafluoro-
- 6. About AMOS – Curation Issue Example 6
- 7. About AMOS – Curating Methods • Often have a table of substances – Can be extracted with scripts • Sample matrix, limits of detection, etc. still need to be manually collected • Some are old, scanned documents that require fully manual work 7
- 8. Spectra • About 210,000 experimental spectra covering about 21,500 substances (not including externally-linked ones) • Most are from external sources – About 90% between MassBank EU, MoNA, & HMDB • EPA labs now providing spectra (especially PFAS) • Includes metadata like instrument settings (when possible) 8
- 9. Methods • Almost 4100 in AMOS so far from an assortment of vendors, publications, and government agencies – Agencies including US-EPA, DEA, CDC, FDA, OSHA, USGS, USDA – Vendors including Agilent, Shimadzu, LECO, Sciex • Searchable on analytes, matrix, analytical methodology, source • Methods can be linked to sets of spectra 9
- 10. • Search by DTXSID, InChIKey, CAS number, name • Can filter on record types or other information • InChIKeys and some names will prompt disambiguation 10 General Search
- 11. General Search – Disambiguation 11 InChIKey example search:
- 12. General Search – Spectra 12
- 13. General Search – Spectra 13
- 14. General Search – Methods & Fact Sheets 14
- 15. General Search – Methods & Fact Sheets 15
- 17. Batch Search 17 • Search a set of DTXSIDs, download info on spectra and methods and links to original data
- 18. Methods List 18
- 19. Methods List – Filtering 19
- 23. Connections to Other Applications • Other apps often deal with focused subsets of chemicals; AMOS’s data can augment that • API endpoints have been built for an NTA application – Originally just in silico spectra 23
- 24. Future Work • Add more data assembled from EPA labs (standards) • Improvements to spectral searching – in testing – Structure, substructure, and similarity searching • Expand spectral and chromatographic metadata • Additional integration with other EPA applications – Mostly just simple links to AMOS pages at the moment • Hoping to release to the public in 2024 24
- 25. Summary • AMOS combines multiple kinds of analytical chemistry data – Primarily mass spectrometry data – Growing steadily for the foreseeable future • Data can be queried via a cheminformatically-oriented application • Intended to be useful as both an independent application and a way of augmenting other EPA applications 25
- 26. Acknowledgements • Greg Janesch – Database and App Development • Sakuntala Sivasupramaniam – curation • Tyler Carr – curation, visualizations • Joshua Powell, Asif Rashid, Freddie Valone – assorted technical support If you want to help, send information regarding analytical methods and method articles to williams.antony@epa.gov 26