The importance of standards for data exchange and interchange on the Royal Society of Chemistry e science platforms
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The Royal Society of Chemistry provides access to a number of databases hosting chemicals data, reactions, spectroscopy data and prediction services. These databases and services can be accessed via web services utilizing queries using standard data formats such as InChI and molfiles. Data can then be downloaded in standard structure and spectral formats allowing for reuse and repurposing. The ChemSpider database integrates to a number of projects external to RSC including Open PHACTS that integrates chemical and biological data. This project utilizes semantic web data standards including RDF. This presentation will provide an overview of how structure and spectral data standards have been critical in allowing us to integrate many open source tools, ease of integration to a myriad of services and underpin many of our future developments.
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This is a presentation that I delivered at the ACS Division of Chemical Information meeting regarding "Reproducibility, Reporting, Sharing & Plagiarism".
I took the opportunity to remove my hat that has me be the VP of Strategic Development at RSC, and a member of the cheminformatics group that built ChemSpider and works on other RSC projects related to it. Instead I presented on how a LACK OF MANDATES from publishers on me in terms of submission of data accompanying articles I am involved with writing is actually weakening my scientific record as data is not getting shared in the most useful forms possible to the benefit of the community. I think there would be benefits for publishers to start pushing me for MORE data, in fairly general standards, and allowing me (and others) to download the data in the form of molecules (and collections), spectral data, CSV files etc.Activities at the Royal Society of Chemistry to gather, extract and analyze b...
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The Royal Society of Chemistry was pleased to contribute to the Open PHACTS project, a 3 year project funded by the Innovative Medicines Initiative fund from the European Union. For three years we developed our existing platforms, created new and innovative widgets and data platforms to handle chemistry data, extended existing chemistry ontologies and embraced the semantic web open standards. As a result RSC served as the centralized chemistry data hub for the project. With the conclusion of the Open PHACTS project we will report on our experiences resulting from our participation in the project and provide an overview of what tools, capabilities and data have been released into the community as a result of our participation and how this may influence future projects. This will include the Open PHACTS open chemistry data dump including the chemistry related data in chemistry and semantic web consumable formats as well as some of the resulting chemistry software released to the community. The Open PHACTS project resulted in significant contributions to the chemistry community as well as the supporting pharmaceutical companies and biomedical community. eScience Resources for the Chemistry Community from the Royal Society of Chem...
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Our access to scientific information has changed in ways that were hardly imagined even by the early pioneers of the internet. The immense quantities of data and the array of tools available to search and analyze online content continues to expand while the pace of change does not appear to be slowing. ChemSpider is one of the chemistry community’s primary online public compound databases. Containing tens of millions of chemical compounds and its associated data ChemSpider serves data tens of thousands of chemists every day and it serves as the foundation for many important international projects to integrate chemistry and biology data, facilitate drug discovery efforts and help to identify new chemicals from under the ocean. This presentation will provide an overview of the expanding reach of the ChemSpider platform and the nature of the solutions that it helps to enable. We will also discuss the possibilities it offers in the domain of crowdsourcing and open data sharing. The future of scientific information and communication will be underpinned by these efforts, influenced by increasing participation from the scientific community and facilitated collaboration and ultimately accelerate scientific progress.ACS 248th Paper 71 ChAMP Project
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This abstract does not necessarily represent the views of the U.S. Environmental Protection Agency.
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Hosting a compound centric community resource for chemistry data
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Laboratories around the world continue to generate immense amounts of data that are non-proprietary and of value to the community. If available these data could dramatically reduce costs by minimizing rework and ultimately facilitating faster research. High quality reference data collections of chemical compound dictionaries, properties and spectra have been generated over many decades. With the advent of social networking tools and platforms such as Wikipedia, the community has an opportunity to contribute. The ChemSpider platform hosted by the Royal Society of Chemistry is a compound centric database with associated data. Already populated with almost 25 million unique compounds the community can deposit and host their own data, and curate and annotate existing data including those generated in Open Notebook Science Efforts. This presentation will provide an overview of progress to date and outline the vision of this community platform for chemistry and ensuring the longevity of chemistry reference data. Current initiatives in developing research data repositories at the Royal Soc...
Current initiatives in developing research data repositories at the Royal Soc...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Access to scientific information has changed in a manner that was likely never even imagined by the early pioneers of the internet. The quantities of data, the array of tools available to search and analyze, the devices and the shift in community participation continues to expand while the pace of change does not appear to be slowing. RSC hosts a number of chemistry data resources for the community including ChemSpider, one of the community’s primary online public compound databases. Containing tens of millions of chemical compounds and its associated data ChemSpider serves data tens of thousands of chemists every day and it serves as the foundation for many important international projects to integrate chemistry and biology data, facilitate drug discovery efforts and help to identify new chemicals from under the ocean. This presentation will provide an overview of the expanding reach of this cheminformatics platform and the nature of the solutions that it helps to enable including structure validation and text mining and semantic markup. ChemSpider is limited in scope as a chemical compound database and we are presently architecting the RSC Data Repository, a platform that will enable us to extend our reach to include chemical reactions, analytical data, and diverse data depositions from chemists across various domains. We will also discuss the possibilities it offers in terms of supporting data modeling and sharing. The future of scientific information and communication will be underpinned by these efforts, influenced by increasing participation from the scientific community.Experiences in Hosting Big Chemistry Data Collections for the Community
Experiences in Hosting Big Chemistry Data Collections for the CommunityUS Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Access to scientific information has changed dramatically as a result of the web and its underpinning technologies. The quantities of data, the array of tools available to search and analyze, the devices and the shift in community participation continues to expand while the pace of change does not appear to be slowing. RSC hosts a number of chemistry data resources for the community including ChemSpider, one of the community’s primary online public compound databases. Containing tens of millions of chemical compounds and its associated data ChemSpider serves data tens of thousands of chemists every day. The platform offers the ability for crowdsourcing enabling the community to deposit and curate data. This presentation will provide an overview of the expanding reach of this cheminformatics platform and the nature of the solutions that it helps to enable including structure validation and text mining and semantic markup. ChemSpider is limited in scope as a chemical compound database and we are presently architecting the RSC Data Repository, a platform that will enable us to extend our reach to include chemical reactions, analytical data, and diverse data depositions from chemists across various domains. We will also discuss the possibilities it offers in terms of supporting data modeling and sharing. The future of scientific information and communication will be underpinned by these efforts, influenced by increasing participation from the scientific community.Using online chemistry databases to facilitate structure identification in ma...
Using online chemistry databases to facilitate structure identification in ma...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Increasingly online databases are being used for the purpose of structure identification. In many cases an unknown to an investigator is known in the chemical literature or online database and these “known unknowns” are commonly available in these aggregated internet resources. The identification of these types of compounds in commercial, environmental, forensic, and natural product samples can be identified by searching against these large aggregated databases querying by either elemental composition or monoisotopic mass. We will report on the search approaches that we offer on aggregated compound databases hosted by the Royal Society of Chemistry and how these resources can be used for the purpose of structure identification. Teaching analytical spectroscopy using online spectroscopic data
Teaching analytical spectroscopy using online spectroscopic dataUS Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The teaching of spectroscopy can be a complex and challenging task. The Royal Society of Chemistry has been developing online resources for a number of years that provide access to analytical data as well as interactive quizzes and challenge sets. The RSC data repository houses over 250,000 spectra at this time including mass spectrometry, NMR and IR data and these are utilized to provide online games to test students capabilities, to underpin the SpectraSchool training website and to produce source data for students and teachers alike to use in their teaching and self-training efforts. This presentation will provide an overview of RSC resources that can be used to teach spectroscopy using our online data and tools.More Related Content
What's hot
Data integration and building a profile for yourself as an online scientist
Data integration and building a profile for yourself as an online scientistUS Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Many of us nowadays invest significant amounts of time in sharing our activities and opinions with friends and family via social networking tools. However, despite the availability of many platforms for scientists to connect and share with their peers in the scientific community the majority do not make use of these tools, despite their promise and potential impact and influence on our future careers. We are being indexed and exposed on the internet via our publications, presentations and data. We also have many more ways to contribute to science, to annotate and curate data, to “publish” in new ways, and many of these activities are as part of a growing crowdsourcing network. This presentation will provide an overview of the various types of networking and collaborative sites available to scientists and ways to expose your scientific activities online. Many of these can ultimately contribute to the developing measures of you as a scientist as identified in the new world of alternative metrics. Participating offers a great opportunity to develop a scientific profile within the community and may ultimately be very beneficial, especially to scientists early in their career. Data Mining Dissertations and Adventures and Experiences in the World of Chem...
Data Mining Dissertations and Adventures and Experiences in the World of Chem...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
This presentation was given at the CLIR/DLF Postdoctoral Fellowship Summer Seminar at Bryn Mawr college in Pennsylvania on July 29th 2014. The intention was to communicate what we are doing in the fields of text and data mining in the domain of chemistry and specifically around mining the RSC archive publication and chemistry dissertations and theses. How would these experiences map over to the humanities?Dealing with the complex challenge of managing diverse analytical chemistry d...
Dealing with the complex challenge of managing diverse analytical chemistry d...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The Royal Society of Chemistry provides open access to data associated with tens of millions of chemical compounds. The richness and complexity of the data has continued to expand dramatically and the original vision for providing an integrated hub for structure-centric data has been delivered across the world to hundreds of thousands of users. With an intention of expanding the reach to cover more diverse aspects of chemistry-related data including compounds, reactions and analytical data, to name just a few data-types, we are in the process delivering a Chemistry Data Repository. The data repository will manage the challenges of associated metadata, the various levels of required security (private, shared and public) and exposing the data as appropriate using semantic web technologies. Ultimately this platform will become the host for all chemicals, reactions and analytical data contained within RSC publications and specifically supplementary information. This presentation will report on the challenges of managing “Big Data” for chemists around the world and providing access to tools for structure dereplication, spectral database searching and the crowdsourcing of the worlds’ largest spectral database.Cheminformatics and the Structure Elucidation of Natural Products
Cheminformatics and the Structure Elucidation of Natural ProductsUS Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The structure elucidation of natural product structures from analytical data, specifically NMR and MS, remains a major challenge. With an enormous palette of NMR experiments to choose from, and supported by breakthrough technologies in hardware, the generation of high quality data to enable even the most complex of natural product structures to be determined is no longer the major hurdle. The challenge is in the analysis of the data. We are in a new era in terms of approaches to structure elucidation: one where computers, databases, and a synergy between scientists and algorithms can offer an accelerated path forward. Software tools are capable of digesting spectroscopic data to elucidate extremely complex natural products. Scientists can now elucidate chemical structures utilizing multinuclear chemical shift data, correlation data from an array of 2D NMR experiments and utilize existing data sets for the purpose of dereplication and computer-assisted structure elucidation. With the explosion of online data especially, in public databases such as PubChem and ChemSpider, many tens of millions of chemical structures are available to seed fragment databases to include in the elucidation process. This presentation will provide an overview of how cheminformatics and chemical databases have been brought together to assist in the identification of natural products. It will include an examination of the state-of-the-art developments in Computer-Assisted Structure Elucidation. Building a data repository to manage chemistry research data
Building a data repository to manage chemistry research dataUS Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
This presentation was given on October 15th 2014 at the University of Connecticut to a class hosted by Mark Peczuh. The intention was to provide an overview of data upload to ChemSpider and ChemSpider SyntheticPages as well as the new direction with the data repository.Value of the mediawiki platform for providing content to the chemistry community
Value of the mediawiki platform for providing content to the chemistry communityUS Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
At this time, and in a culture where online access is now an imperative, Wikipedia has become the definitive encyclopedia. In terms of its support for chemistry it is rich in many encyclopedic pages including named reactions, chemical and drug pages, articles about chemists, and many other forms of chemistry related information. Wikipedia is hosted on Mediawiki, an open source platform that can be utilized by anybody as the basis of their own hosted content collection. Mediawiki has been used as a collaborative environment by a number of chemists to create As a general contribution to the community Mediawiki has been used to create a number of resources that have become very popular with the chemistry community. These include VIPEr to support inorganic chemistry, ChemWiki as an online textbook and other educational resources and a Chemical Information Wikibook. Mediawiki has also been used by the author to host open source collections of data including scientists, scientific databases and mobile apps for science: the ScientistsDB, SciDBs and SciMobileApps wikis. This presentation will provide an overview of some of the chemistry resources that presently exist and celebrate the major contributions that Wikipedia and Mediawiki have made to the collaborative dissemination of chemistry. Serving the medicinal chemistry community with Royal Society of Chemistry che...
Serving the medicinal chemistry community with Royal Society of Chemistry che...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The Royal Society of Chemistry (RSC) is a major participant in providing access to chemistry related data via the web. As an internationally renowned society for the chemical sciences, a scientific publisher and the host of the ChemSpider database for the community, RSC continues to make dramatic strides in providing online access to data. ChemSpider provides access to over 30 million chemicals sourced from over 500 data suppliers and linked out to related information on the web. The platform is a crowdsourcing environment whereby members of the community can participate in validating and expanding the content of the database. With a set of application programming interfaces ChemSpider is used by various organizations and projects to serve up data for various purposes. These include structure identification for mass spectrometry instrument vendors, RSC databases such as the Marinlit natural products database and a European grant-based project from the Innovative Medicines Initiative fund. This presentation will provide an overview of various cheminformatics activities and projects that RSC is involved with to serve the medicinal chemistry community. This will include the Open PHACTS semantic web project, the PharmaSea project to identify new pharmaceutical leads from the ocean and the UK National Compound Collection to identify new lead compounds contained within PhD theses.Our dire need to mandate data standards and expectations for scientific publi...
Our dire need to mandate data standards and expectations for scientific publi...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
This is a presentation that I delivered at the ACS Division of Chemical Information meeting regarding "Reproducibility, Reporting, Sharing & Plagiarism".
I took the opportunity to remove my hat that has me be the VP of Strategic Development at RSC, and a member of the cheminformatics group that built ChemSpider and works on other RSC projects related to it. Instead I presented on how a LACK OF MANDATES from publishers on me in terms of submission of data accompanying articles I am involved with writing is actually weakening my scientific record as data is not getting shared in the most useful forms possible to the benefit of the community. I think there would be benefits for publishers to start pushing me for MORE data, in fairly general standards, and allowing me (and others) to download the data in the form of molecules (and collections), spectral data, CSV files etc.Activities at the Royal Society of Chemistry to gather, extract and analyze b...
Activities at the Royal Society of Chemistry to gather, extract and analyze b...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The phrase “Big Data” is generally used to describe a large volume of structured and/or unstructured data that cannot be processed using traditional database and software techniques. In the domain of chemistry the Royal Society of Chemistry certainly hosts large structured databases of chemistry data, for example ChemSpider, as well as unstructured content, in the form of our collection of scientific articles. Our research literature provides value to their readership and, at present, as an example of one of our databases, ChemSpider is accessed by many tens of thousands of scientists every day. But do these collections constitute “Big Data” or is it the potential which lies within the collections that can contribute to the Big Data movement. This presentation will discuss our activities to contribute both data, and service-based access to our data sets, to support grant-based projects such as the Innovative Medicines Initiative Open PHACTS project (to support drug discovery) and the PharmaSea initiative (to identify novel natural products from the ocean). We will also provide an overview of our activities to perform data mining of public patent collections and examine what can be done with the data. We are presently extracting physicochemical properties and textual forms of NMR spectra and, with the resulting data, are building predictive models (for melting points at present) and assembling a large NMR spectral database containing many hundreds of thousands of spectral-structure pairs. Our experiences to date have demonstrated that we are working at the edge of current algorithmic and computing capabilities for predictive model building, with over a quarter of a million melting points producing a matrix of over 200 billion descriptors. Our work to produce the NMR spectral database will necessitate batch processing of the data to examine consistency between the spectral-structure pairs and other forms of data validation. The intention is to take our experiences in this work applied to a public patents corpus and apply it to the RSC back file of publications to mine data and enable new paths to the discoverability of both data and the associated publications. Dealing with the complex challenge of managing diverse chemistry data online
Dealing with the complex challenge of managing diverse chemistry data onlineUS Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The Royal Society of Chemistry has provided access to data associated with millions of chemical compounds via our ChemSpider database for over 5 years. During this period the richness and complexity of the data has continued to expand dramatically and the original vision for providing an integrated hub for structure-centric data has been delivered across the world to hundreds of thousands of users. With an intention of expanding the reach to cover more diverse aspects of chemistry-related data including compounds, reactions and analytical data, to name just a few data-types, we are in the process of implementing a new architecture to build a Chemistry Data Repository. The data repository will manage the challenges of associated metadata, the various levels of required security (private, shared and public) and exposing the data as appropriate using semantic web technologies. Ultimately this platform will become the host for all chemicals, reactions and analytical data contained within RSC publications and specifically supplementary information. This presentation will report on how our efforts to manage chemistry related data has impacted chemists and projects across the world and will review specifically our contributions to projects involving natural products for collaborators in Brazil and China, for the Open Source Drug Discovery project in India, and our collaborations with scientists in Russia.
Royal society of chemistry activities to develop a data repository for chemis...
Royal society of chemistry activities to develop a data repository for chemis...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The Royal Society of Chemistry publishes many thousands of articles per year, the majority of these containing rich chemistry data that, in general, in limited in its value when isolated only to the HTML or PDF form of the articles commonly consumed by readers. RSC also has an archive of over 300,000 articles containing rich chemistry data especially in the form of chemicals, reactions, property data and analytical spectra. RSC is developing a platform integrating these various forms of chemistry data. The data will be aggregated both during the manuscript deposition process as well as the result of text-mining and extraction of data from across the RSC archive. This presentation will report on the development of the platform including our success in extracting compounds, reactions and spectral data from articles. We will also discuss our developing process for handling data at manuscript deposition and the integration and support of eLab Notebooks (ELNS) in terms of facilitating data deposition and sourcing data. Each of these processes is intended to ensure long-term access to research data with the intention of facilitating improved discovery. Open innovation contributions from RSC resulting from the Open Phacts project
Open innovation contributions from RSC resulting from the Open Phacts projectUS Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The Royal Society of Chemistry was pleased to contribute to the Open PHACTS project, a 3 year project funded by the Innovative Medicines Initiative fund from the European Union. For three years we developed our existing platforms, created new and innovative widgets and data platforms to handle chemistry data, extended existing chemistry ontologies and embraced the semantic web open standards. As a result RSC served as the centralized chemistry data hub for the project. With the conclusion of the Open PHACTS project we will report on our experiences resulting from our participation in the project and provide an overview of what tools, capabilities and data have been released into the community as a result of our participation and how this may influence future projects. This will include the Open PHACTS open chemistry data dump including the chemistry related data in chemistry and semantic web consumable formats as well as some of the resulting chemistry software released to the community. The Open PHACTS project resulted in significant contributions to the chemistry community as well as the supporting pharmaceutical companies and biomedical community. eScience Resources for the Chemistry Community from the Royal Society of Chem...
eScience Resources for the Chemistry Community from the Royal Society of Chem...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Our access to scientific information has changed in ways that were hardly imagined even by the early pioneers of the internet. The immense quantities of data and the array of tools available to search and analyze online content continues to expand while the pace of change does not appear to be slowing. ChemSpider is one of the chemistry community’s primary online public compound databases. Containing tens of millions of chemical compounds and its associated data ChemSpider serves data tens of thousands of chemists every day and it serves as the foundation for many important international projects to integrate chemistry and biology data, facilitate drug discovery efforts and help to identify new chemicals from under the ocean. This presentation will provide an overview of the expanding reach of the ChemSpider platform and the nature of the solutions that it helps to enable. We will also discuss the possibilities it offers in the domain of crowdsourcing and open data sharing. The future of scientific information and communication will be underpinned by these efforts, influenced by increasing participation from the scientific community and facilitated collaboration and ultimately accelerate scientific progress.ACS 248th Paper 71 ChAMP Project
Presentation on the Chemical Analysis Metadata Platform (ChAMP) as a new project to characterize and organize metadata about chemical analysis methods. The project will develop an ontology, controlled vocabularies, and design rules
The needs for chemistry standards, database tools and data curation at the ch...
The needs for chemistry standards, database tools and data curation at the ch...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
This presentation highlights known challenges with the production of high quality chemical databases and outline recent efforts made to address these challenges. Specific examples will be provided illustrating these challenges within the U.S. Environmental Protection Agency (EPA) Computational Toxicology Program. This includes consolidating EPA’s ACToR and DSSTox databases, augmenting computed properties and list search features, and introducing quality metrics to assess confidence in chemical structure assignments across hundreds of thousands of chemical substance records. The past decade has seen enormous investments in the generation and release of data from studies of chemicals and their toxicological effects. There is, however, commonly little concern given to provenance and, more generally, to the quality of the data. The presentation will emphasize the importance of rigorous data review procedures, progress in web-based public access to accurate chemical data sets for use in predictive modeling, and the benefits that these efforts will deliver to toxicologists to embrace the “Big Data” era.
This abstract does not necessarily represent the views of the U.S. Environmental Protection Agency.
Clustering the royal society of chemistry chemical repository to enable enhan...
The Royal Society of Chemistry has hosted the ChemSpider database and associated platforms for over five years. Technologies made significant progress over that period but, more importantly, the community needs in terms of the variety of data types as well as search performance have increased. The preprocessing of chemicals for improved similarity searching and compound database navigation is seen as one crucial component of major development efforts to architect a new data repository. This component is engineered and implemented in collaboration with the group of Professor Oliver Kohlbacher at University of Tübingen. They have developed an approach for clustering large chemical libraries based on a fast, parallel, and purely CPU-based algorithm for 2D binary fingerprint similarity calculation. Using this method, the complete similarity network of our seed set with tens of millions of chemicals has been analyzed at a Tanimoto threshold of 0.6 and all similarity links were fed into our database. The latter is highly beneficial and will allow us to create more complex and enriching visualizations of similar compounds with associated bioactivity data and physicochemical properties for the RSC chemical repository users. This presentation will provide an overview of our experiences in applying clustering to our compound data and how it will be used to enrich data navigation on the RSC data repository.
Hosting a compound centric community resource for chemistry data
Hosting a compound centric community resource for chemistry dataUS Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Laboratories around the world continue to generate immense amounts of data that are non-proprietary and of value to the community. If available these data could dramatically reduce costs by minimizing rework and ultimately facilitating faster research. High quality reference data collections of chemical compound dictionaries, properties and spectra have been generated over many decades. With the advent of social networking tools and platforms such as Wikipedia, the community has an opportunity to contribute. The ChemSpider platform hosted by the Royal Society of Chemistry is a compound centric database with associated data. Already populated with almost 25 million unique compounds the community can deposit and host their own data, and curate and annotate existing data including those generated in Open Notebook Science Efforts. This presentation will provide an overview of progress to date and outline the vision of this community platform for chemistry and ensuring the longevity of chemistry reference data. What's hot (18)
Data integration and building a profile for yourself as an online scientist
Data integration and building a profile for yourself as an online scientist
Data Mining Dissertations and Adventures and Experiences in the World of Chem...
Data Mining Dissertations and Adventures and Experiences in the World of Chem...
Dealing with the complex challenge of managing diverse analytical chemistry d...
Dealing with the complex challenge of managing diverse analytical chemistry d...
Cheminformatics and the Structure Elucidation of Natural Products
Cheminformatics and the Structure Elucidation of Natural Products
Building a data repository to manage chemistry research data
Building a data repository to manage chemistry research data
Value of the mediawiki platform for providing content to the chemistry community
Value of the mediawiki platform for providing content to the chemistry community
Serving the medicinal chemistry community with Royal Society of Chemistry che...
Serving the medicinal chemistry community with Royal Society of Chemistry che...
Our dire need to mandate data standards and expectations for scientific publi...
Our dire need to mandate data standards and expectations for scientific publi...
Activities at the Royal Society of Chemistry to gather, extract and analyze b...
Activities at the Royal Society of Chemistry to gather, extract and analyze b...
Dealing with the complex challenge of managing diverse chemistry data online
Dealing with the complex challenge of managing diverse chemistry data online
Royal society of chemistry activities to develop a data repository for chemis...
Royal society of chemistry activities to develop a data repository for chemis...
Open innovation contributions from RSC resulting from the Open Phacts project
Open innovation contributions from RSC resulting from the Open Phacts project
eScience Resources for the Chemistry Community from the Royal Society of Chem...
eScience Resources for the Chemistry Community from the Royal Society of Chem...
The needs for chemistry standards, database tools and data curation at the ch...
The needs for chemistry standards, database tools and data curation at the ch...
Clustering the royal society of chemistry chemical repository to enable enhan...
Clustering the royal society of chemistry chemical repository to enable enhan...
Hosting a compound centric community resource for chemistry data
Hosting a compound centric community resource for chemistry data
Acs collaborative computational technologies for biomedical research an enabl...
Acs collaborative computational technologies for biomedical research an enabl...
Similar to The importance of standards for data exchange and interchange on the Royal Society of Chemistry e science platforms
Current initiatives in developing research data repositories at the Royal Soc...
Current initiatives in developing research data repositories at the Royal Soc...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Access to scientific information has changed in a manner that was likely never even imagined by the early pioneers of the internet. The quantities of data, the array of tools available to search and analyze, the devices and the shift in community participation continues to expand while the pace of change does not appear to be slowing. RSC hosts a number of chemistry data resources for the community including ChemSpider, one of the community’s primary online public compound databases. Containing tens of millions of chemical compounds and its associated data ChemSpider serves data tens of thousands of chemists every day and it serves as the foundation for many important international projects to integrate chemistry and biology data, facilitate drug discovery efforts and help to identify new chemicals from under the ocean. This presentation will provide an overview of the expanding reach of this cheminformatics platform and the nature of the solutions that it helps to enable including structure validation and text mining and semantic markup. ChemSpider is limited in scope as a chemical compound database and we are presently architecting the RSC Data Repository, a platform that will enable us to extend our reach to include chemical reactions, analytical data, and diverse data depositions from chemists across various domains. We will also discuss the possibilities it offers in terms of supporting data modeling and sharing. The future of scientific information and communication will be underpinned by these efforts, influenced by increasing participation from the scientific community.Experiences in Hosting Big Chemistry Data Collections for the Community
Experiences in Hosting Big Chemistry Data Collections for the CommunityUS Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Access to scientific information has changed dramatically as a result of the web and its underpinning technologies. The quantities of data, the array of tools available to search and analyze, the devices and the shift in community participation continues to expand while the pace of change does not appear to be slowing. RSC hosts a number of chemistry data resources for the community including ChemSpider, one of the community’s primary online public compound databases. Containing tens of millions of chemical compounds and its associated data ChemSpider serves data tens of thousands of chemists every day. The platform offers the ability for crowdsourcing enabling the community to deposit and curate data. This presentation will provide an overview of the expanding reach of this cheminformatics platform and the nature of the solutions that it helps to enable including structure validation and text mining and semantic markup. ChemSpider is limited in scope as a chemical compound database and we are presently architecting the RSC Data Repository, a platform that will enable us to extend our reach to include chemical reactions, analytical data, and diverse data depositions from chemists across various domains. We will also discuss the possibilities it offers in terms of supporting data modeling and sharing. The future of scientific information and communication will be underpinned by these efforts, influenced by increasing participation from the scientific community.Using online chemistry databases to facilitate structure identification in ma...
Using online chemistry databases to facilitate structure identification in ma...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Increasingly online databases are being used for the purpose of structure identification. In many cases an unknown to an investigator is known in the chemical literature or online database and these “known unknowns” are commonly available in these aggregated internet resources. The identification of these types of compounds in commercial, environmental, forensic, and natural product samples can be identified by searching against these large aggregated databases querying by either elemental composition or monoisotopic mass. We will report on the search approaches that we offer on aggregated compound databases hosted by the Royal Society of Chemistry and how these resources can be used for the purpose of structure identification. Teaching analytical spectroscopy using online spectroscopic data
Teaching analytical spectroscopy using online spectroscopic dataUS Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The teaching of spectroscopy can be a complex and challenging task. The Royal Society of Chemistry has been developing online resources for a number of years that provide access to analytical data as well as interactive quizzes and challenge sets. The RSC data repository houses over 250,000 spectra at this time including mass spectrometry, NMR and IR data and these are utilized to provide online games to test students capabilities, to underpin the SpectraSchool training website and to produce source data for students and teachers alike to use in their teaching and self-training efforts. This presentation will provide an overview of RSC resources that can be used to teach spectroscopy using our online data and tools.Importance of data standards for large scale data integration in chemistry
Importance of data standards for large scale data integration in chemistryUS Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The Royal Society of Chemistry hosts large scale data collections and provides access to the data to the chemistry community. The largest RSC data set of wide scale interest to the community offers access to tens of millions of compounds. The host platform, ChemSpider, is limited as it is a structure centric hub only. A new architecture, the RSC data repository, has been developed that extends support to reactions, spectral data, crystallography data and related property data. It is also the architecture underlying a series of exemplar projects for managing data for a number of diverse laboratories. The adoption of data standards for the integration and distribution of data has been essential. Specific standards include molecular structure formats such as molfiles and InChIs, and spectral data formats such as JCAMP. This presentation will report on our development of the data repository, the importance of utilizing standards for data integration, the flexible nature of the architecture to deliver solutions for various laboratories and our efforts to develop new large data collections. This includes text-mining efforts to extract large spectrum-structure collections from large corpuses. Data enhancing the royal society of chemistry publication archive
Data enhancing the royal society of chemistry publication archiveUS Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The Royal Society of Chemistry has an archive of hundreds of thousands of published articles containing various types of chemistry related data – compounds, reactions, property data, spectral data etc. RSC has a vision of extracting as much of these data as possible and providing access via ChemSpider and its related projects. To this end we have applied a combination of text-mining extraction, image conversion and chemical validation and standardization approaches. The outcome of this project will result in new chemistry related data being added to our chemical and reaction databases and in the ability to more tightly couple web-based versions of the articles with these extracted data. The ability to search across the archive will be enhanced as a result. This presentation will report on our progress in this data extraction project and discuss how we will ultimately use similar approaches in our publishing pipeline to enhance article markup for new publications.Data enhancing the royal society of chemistry publication archive
The Royal Society of Chemistry has an archive of hundreds of thousands of published articles containing various types of chemistry related data – compounds, reactions, property data, spectral data etc. RSC has a vision of extracting as much of these data as possible and providing access via ChemSpider and its related projects. To this end we have applied a combination of text-mining extraction, image conversion and chemical validation and standardization approaches. The outcome of this project will result in new chemistry related data being added to our chemical and reaction databases and in the ability to more tightly couple web-based versions of the articles with these extracted data. The ability to search across the archive will be enhanced as a result. This presentation will report on our progress in this data extraction project and discuss how we will ultimately use similar approaches in our publishing pipeline to enhance article markup for new publications.
Dealing with the complex challenge of managing diverse chemistry data online
The Royal Society of Chemistry has provided access to data associated with millions of chemical compounds via our ChemSpider database for over 5 years. During this period the richness and complexity of the data has continued to expand dramatically and the original vision for providing an integrated hub for structure-centric data has been delivered across the world to hundreds of thousands of users. With an intention of expanding the reach to cover more diverse aspects of chemistry-related data including compounds, reactions and analytical data, to name just a few data-types, we are in the process of implementing a new architecture to build a Chemistry Data Repository. The data repository will manage the challenges of associated metadata, the various levels of required security (private, shared and public) and exposing the data as appropriate using semantic web technologies. Ultimately this platform will become the host for all chemicals, reactions and analytical data contained within RSC publications and specifically supplementary information. This presentation will report on how our efforts to manage chemistry related data has impacted chemists and projects across the world and will review specifically our contributions to projects involving natural products for collaborators in Brazil and China, for the Open Source Drug Discovery project in India, and our collaborations with scientists in Russia.
Approaches for extraction and digital chromatography of chemical data
Approaches for extraction and digital chromatography of chemical dataUS Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The traditional perception of the publishing process has been that it culminates in a print article. The Royal Society of Chemistry (RSC) has for many years been acutely aware that there is a wealth of information contained in scientific communications that we publish and that its true value can only be unlocked by enabling the discovery of the data within them. This is challenging due to the variety of ways that scientists provide data, textually, graphically, and increasingly in supplementary information. This talk will outline how the RSC has applied innovative approaches, developed both internally and externally, to identifying important chemical data within the literature and provides tools to anyone using chemical data to analyse and improve its quality. Examples will include: Project Prospect, the Experimental Data Checker, our CIF data importer, ChemSpider and our structure validation and standardization service.
This presentation was given by David Sharpe at the ACS Fall Meeting 2012 in PhiladelphiaThe influence of data curation on QSAR Modeling – Presented at American Chemi...
This presentation examined the impact of data quality on the construction of QSAR models being developed within the EPA‘s National Center for Computational Toxicology. We have developed a public-facing platform to provide access to predictive models. As part of the work we have attempted to disentangle the influence of the quality versus quantity of data available to develop and validate QSAR models. This abstract does not reflect U.S. EPA policy.
Molecular modelling for in silico drug discovery
A slide set based on the small molecule section of "Introduction to in silico drug discovery" with more detail on molecular modelling and simulation aspects. Including a bit more on protein structure prediction
How the InChI identifier is used to underpin our online chemistry databases a...
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At RSC we are involved with a number of projects utilizing components of Advanced Chemistry Development software including nomenclature, physchem prediction and spectroscopy integration. This presentation was given at a small ACD/Labs user meeting in Loughborough, England in February 2013. An associated movie is available on YouTube here: http://youtu.be/2kAsyRU7lRgIntroduction to Cheminformatics: Accessing data through the CompTox Chemicals...
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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
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• Identifiers – CASRN, chemical names, systematic names
• Data curation approaches: substance-structure ambiguity
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ChemSpider is one of the chemistry community’s primary public compound databases. Containing tens of millions of chemical compounds and its associated data ChemSpider serves data to many tens of websites and software applications at this point. This presentation will provide an overview of the expanding reach of the ChemSpider platform and the nature of solutions that it helps to enable. We will also discuss some of the future directions for the project that are envisaged and how we intend to continue expanding the impact for the platform.
Prediction of pKa from chemical structure using free and open source tools
Prediction of pKa from chemical structure using free and open source toolsUS Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The ionization state of a chemical, reflected in pKa values, affects lipophilicity, solubility, protein binding and the ability of a chemical to cross the plasma membrane. These properties govern the pharmacokinetic parameters such as absorption, distribution, metabolism, excretion and toxicity and thus pKa is a fundamental chemical property and is used in many models of chemical toxicity.
Experimentally determining pKa is not feasible for high-throughput assays. Predicting pKa is challenging and existing models have been developed only using restricted chemical space (e.g., anilines, phenols, benzoic acids, primary amines) and lack of a generalized model impedes ADME modeling.
No free and open source models exist for heterogeneous chemical classes, however, several proprietary programs exist. In this work, pKa open data bundled with DataWarrior (http://www.openmolecules.org/) were used to develop predictive models for pKa. After data cleaning, there were ~3100 and ~3900 monoprotic chemicals with an acidic or basic pKa, respectively. 1D and 2D chemical descriptors (AlogP, Topological polar surface area, etc) in addition to 12 fingerprints (presence or absence of a chemical group) were generated using PaDEL software. Three datasets were used: acidic, basic and acidic and basic combined.
13 datasets were examined, the 1D/2D descriptors and 12 fingerprints. Using the Extreme Gradient Boosting algorithm showed that the MACCS and Substructure Count fingerprints yielded the best results, with models showing an R-Squared of ~0.78 and a RMSE of 1.42.
Recently, Deep Learning models have showed remarkable progress in image recognition and natural language processing. To determine if the Deep Learning algorithms would increase model performance we examined the datasets and found that the Deep Learning models were somewhat superior than Extreme Gradient Boosting with an R-Squared of ~0.80 and an RMSE of ~1.38.
This work does not reflect U.S. EPA policy.
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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.Similar to The importance of standards for data exchange and interchange on the Royal Society of Chemistry e science platforms (20)
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Introduction to Cheminformatics: Accessing data through the CompTox Chemicals...
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- 1. The importance of standards for data exchange and interchange on the Royal Society of Chemistry eScience platforms Valery Tkachenko, Colin Batchelor, Jon Steele and Antony Williams* ACS Indianapolis September 12th 2013
- 2. RSC Projects in Action • Many RSC projects underway, underpinned by ChemSpider, and very dependent on standards • ChemSpider • ChemSpider Reactions • Open PHACTS • PharmaSea • Chemical Database Service • Open Source Drug Discovery
- 3. • 3-year Innovative Medicines Initiative project • Integrating chemistry and biology data using semantic web technologies • Open source code, open data and open standards • Academics, Pharmas, Publishers… • To put medicines in the pipeline…
- 6. Open Source Drug Discovery
- 7. Compound Data • The standards of chemical structure handling are primarily molfile, SDfile, SMILES, InChI • We primarily depend on molfiles and SDF files for data deposition and interchange • We use InChI a lot – especially for integrated searching across the web • There ARE data interchange problems associated with structures….
- 8. ChemSpider
- 9. ChemSpider
- 10. Exact Search
- 11. Skeleton Search
- 12. Compound Data • The standards of chemical structure handling are primarily molfile, SDfile, SMILES, InChI • We primarily depend on molfiles and SDF files for data deposition and interchange • We use InChI a lot – especially for integrated searching across the web • There ARE data interchange problems associated with structures….
- 13. CVSP : chemical validation Free chemistry validation platform that performs: •Structure validation • Atoms • Bonds • Valence • Stereo • If aromatic - check that uniquely dearomatized • Strongest acid not ionized first in partially-ionized system •Cross-matching of SDF fields • synonyms • InChIs • Smiles
- 14. Input formats supported: CDX, Mol, Sdf Zip Gz Tab-delimited text files
- 15. CVSP: standardization modules • Custom processing let’s user to put together workflow from pre-defined standardization modules list
- 17. Reaction Data • ChemSpider is built for compounds – but how are they made??? • ChemSpider Reactions is our attempt to answer the question.. • Integrating both commercial and open data • RSC Databases, data extracted from our publications on the DERA project and Open Data sources of reactions • Molfiles, CDX files, RXN files
- 18. RSC and Chemical Reactions
- 19. RSC and Chemical Reactions
- 20. RSC Journal Content • Many 10s/100s of thousands of reactions contained in our journals • Electronic Supplementary information data contains lots more
- 25. Spectral Data • ChemSpider requires spectral data to be deposited in standard formats – JCAMP or images • All spectra available at: http:// www.chemspider.com/spectra.aspx • Data are deposited on a regular basis • Students • Chemical vendors • Growing collection now
- 29. Data Interchange
- 30. JCAMP file downloads • When NMR spectra are stored as JCAMP then downloads into offline packages are feasible – MestreLabs, ACD/Labs etc • Open Data – download versus view • Store spectra locally and reuse • Java is increasingly a pain! • Need to move to HTML5 viewing on ChemSpider, especially for Mobile Viewing
- 31. Spectral Display in the hand
- 32. Challenges with Spectra • JCAMP is good for a lot of spectral data – IR, Raman, 1D NMR • MS data is rarely made available in JCAMP • We would love a ratified JCAMP 6.0 for 2D data exchange – allows third parties to build support for download • ASSIGNED JCAMP spectra can be supported but no real standards here
- 33. …and images
- 34. DERA to digitize documents? • We want to get data out of our historical archive • What could we do? • Find chemical names and generate structures • Find chemical images and generate structures • Find reactions – and make a database! • Find data (MP, BP, LogP) and deposit • Find figures and database them • Find spectra (and link to structures)
- 35. Text-Mining
- 36. ESI – Text Spectra
- 37. Do we want to search text spectra? What do we get when we search: 13C NMR (CDCl3, 100 MHz): δ = 14.12 (CH3), 30.11 (CH, benzylic methane), 30.77 (CH, benzylic methane), 66.12 (CH2), 68.49 (CH2), 117.72, 118.19, 120.29, 122.67, 123.37, 125.69, 125.84, 129.03, 130.00, 130.53 (ArCH), 99.42, 123.60, 134.69, 139.23, 147.21, 147.61, 149.41, 152.62, 154.88 (ArC)
- 38. MestreLabs Mnova NMR Beta
- 39. 1H NMR (CDCl3, 400 MHz): δ = 2.57 (m, 4H, Me, C(5a)H), 4.24 (d, 1H, J = 4.8 Hz, C(11b)H), 4.35 (t, 1H, Jb = 10.8 Hz, C(6)H), 4.47 (m, 2H, C(5)H), 4.57 (dd, 1H, J = 2.8 Hz, C(6)H), 6.95 (d, 1H, J = 8.4 Hz, ArH), 7.18–7.94 (m, 11H, ArH)
- 40. ESI – Text and Image Spectra
- 46. It’s exactly the WRONG WAY! • We should NOT be mining data out of future publications • Structures should be submitted “correctly” • Spectra should be digital spectral formats, not images • ESI should be RICH and interactive
- 47. APIs and Standards • We follow the standard expectations in terms of how people would want to access our APIs: RESTful services, JSON handling etc. • We allow people to pass in queries using molfiles, SMILES, InChI/Keys etc • Future will include JCAMP searching • APIs in use by MANY organizations and of value to our Open PHACTS, PharmaSea, Chemical Database Service etc. Also Mobile
- 48. Conclusions • Data Interchange standards are all over our projects! • We are grateful to companies, organizations, contributors who have helped define: • Structure – Mol,SDF,InChI etc • Spectra – JCAMP, SPC, NetCDF etc • W3C standards
- 49. For the Next ACS hopefully… • Build out our ChemSpider Reaction collection • Grab spectral data out of our ESI! • Get more submissions in STANDARD formats • Integrate to spectroscopy handling systems for deposition in JCAMP • Push molfiles directly into ChemSpider with improved deposition platform • Build out the chemical data repository…
- 50. Thank You Email: williamsa@rsc.org Twitter: ChemConnector Personal Blog: www.chemconnector.com SLIDES: www.slideshare.net/AntonyWilliams