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Wikipedia on the CompTox Chemicals Dashboard: Connecting Resources to Enrich Public Chemical Data.
Sinclair, Gabriel; Thillainadarajah, Inthirany; Meyer, Brian; Samano, Vicente; Sivasupramaniam, Sakuntala; Adams, Linda; Willighagen, Egon L; Richard, Ann M; Walker, Martin; Williams, Antony J.
Afiliação
  • Sinclair G; ORAU Student Services Contractor to Center for Computational Toxicology and Exposure, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina 27711, United States.
  • Thillainadarajah I; Senior Environmental Employment Program, US Environmental Protection Agency, Research Triangle Park, North Carolina 27711, United States.
  • Meyer B; Senior Environmental Employment Program, US Environmental Protection Agency, Research Triangle Park, North Carolina 27711, United States.
  • Samano V; Senior Environmental Employment Program, US Environmental Protection Agency, Research Triangle Park, North Carolina 27711, United States.
  • Sivasupramaniam S; Senior Environmental Employment Program, US Environmental Protection Agency, Research Triangle Park, North Carolina 27711, United States.
  • Adams L; Center for Computational Toxicology and Exposure, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina 27711, United States.
  • Willighagen EL; Department of Bioinformatics─BiGCaT, Maastricht University, 6229 ER Maastricht, The Netherlands.
  • Richard AM; Center for Computational Toxicology and Exposure, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina 27711, United States.
  • Walker M; Martin Walker, SUNY Potsdam─Chemistry, 44 Pierrepont Avenue, Potsdam, New York 13676, United States.
  • Williams AJ; Center for Computational Toxicology and Exposure, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina 27711, United States.
J Chem Inf Model ; 62(20): 4888-4905, 2022 10 24.
Article em En | MEDLINE | ID: mdl-36215146
ABSTRACT
The online encyclopedia Wikipedia aggregates a large amount of data on chemistry, encompassing well over 20,000 individual Wikipedia pages and serves the general public as well as the chemistry community. Many other chemical databases and services utilize these data, and previous projects have focused on methods to index, search, and extract it for review and use. We present a comprehensive effort that combines bulk automated data extraction over tens of thousands of pages, semiautomated data extraction over hundreds of pages, and fine-grained manual extraction of individual lists and compounds of interest. We then correlate these data with the existing contents of the U.S. Environmental Protection Agency's (EPA) Distributed Structure-Searchable Toxicity (DSSTox) database. This was performed with a number of intentions including ensuring as complete a mapping as possible between the Dashboard and Wikipedia so that relevant snippets of the article are loaded for the user to review. Conflicts between Dashboard content and Wikipedia in terms of, for example, identifiers such as chemical registry numbers, names, and InChIs and structure-based collisions such as SMILES were identified and used as the basis of curation of both DSSTox and Wikipedia. This work also allowed us to evaluate available data for sets of chemicals of interest to the Agency, such as synthetic cannabinoids, and expand the content in DSSTox as appropriate. This work also led to improved bidirectional linkage of the detailed chemistry and usage information from Wikipedia with expert-curated structure and identifier data from DSSTox for a new list of nearly 20,000 chemicals. All of this work ultimately enhances the data mappings that allow for the display of the introduction of the Wikipedia article in the community-accessible web-based EPA Comptox Chemicals Dashboard, enhancing the user experience for the thousands of users per day accessing the resource.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Canabinoides Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Canabinoides Idioma: En Ano de publicação: 2022 Tipo de documento: Article