Cited by 3,443Computational Drug Discovery MethodsBiomedical Text Mining and OntologiesResearch Data Management Practices

PubChem 2023 update

Open access
Kim, Sunghwan, Chen, Jie, Cheng, Tiejun, Gindulyte, Asta, He, Jia, He, Siqian, Li, Qingliang, Shoemaker, Benjamin A +5 more·2023·Nucleic Acids Research

Abstract

PubChem (https://pubchem.ncbi.nlm.nih.gov) is a popular chemical information resource that serves a wide range of use cases. In the past two years, a number of changes were made to PubChem. Data from more than 120 data sources was added to PubChem. Some major highlights include: the integration of Google Patents data into PubChem, which greatly expanded the coverage of the PubChem Patent data collection; the creation of the Cell Line and Taxonomy data collections, which provide quick and easy access to chemical information for a given cell line and taxon, respectively; and the update of the bioassay data model. In addition, new functionalities were added to the PubChem programmatic access protocols, PUG-REST and PUG-View, including support for target-centric data download for a given protein, gene, pathway, cell line, and taxon and the addition of the ‘standardize’ option to PUG-REST, which returns the standardized form of an input chemical structure. A significant update was also made to PubChemRDF. The present paper provides an overview of these changes.

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Integrity signals

Registry

Crossref · 10.1093/nar/gkac956

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58 of 58 references verified0 citation errors · 0 not checkable

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  • Mathematical modeling of multi-objective decision-making has been prevalent since the 1960s.

    “Mathematical modeling of multi-objective decision-making has been prevalent since the 1960s (99).”

    From Artificial Intelligence for Drug Discovery: Are We There Yet? (2024) · cites this paper as [99]

    The BIOASSAY DATA MODEL CHANGE section discusses updates to PubChem’s bioactivity data, while the References section lists work on chemical modeling. Neither addresses the history of mathematical modeling of multi-objective decision-making. Searches for that topic and for the 1960s found no supporting passage in our copy. (LLM, conf=0.76)

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Authors
Kim, S., Chen, J., Cheng, T., Gindulyte, A., He, J., He, S., Li, Q., Shoemaker, B. A., Thiessen, P. A., Yu, B., Zaslavsky, L., Zhang, J., & Bolton, E. E.
Affiliations
  • National Institutes of Health (US)
  • National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Department of Health and Human Services , Bethesda , MD, 20894, USA
Corresponding author
Bolton, Evan E
Venue
Nucleic Acids Research
Published
2022-10-28
Volume
51
Issue
D1
Pages
D1373-D1380
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
OpenAlex
W4307468223
Cited by
3,443
References
58
Citations by year
2026: 811 · 2025: 1150 · 2024: 1094 · 2023: 379 · 2022: 2 · 2021: 4 · 2020: 2 · 2012: 1
FWCI
356.78
Type
journal article
Language
en
Open access
Licence
other-oa
Locations
  • Nucleic Acids Research (publishedVersion, other-oa)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Center for Biotechnology Information of the National Library of Medicine
Topics
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Biomedical Text Mining and Ontologies
  • Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
Keywords
PubChem, chemical information resources, patent information
MeSH terms
Cheminformatics, Biological Assay, Proteins, Drug Discovery, Databases, Chemical

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