Evidence map›Paper›PMID 36305812›Full record

ArticleNucleic acids research2023

PubChem 2023 update.

Sunghwan Kim, Jie Chen, Tiejun Cheng, Asta Gindulyte, Jia He, Siqian He, Qingliang Li, Benjamin A Shoemaker, Paul A Thiessen, Bo Yu and 3 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1,433 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1,433citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1,433 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Mapping molluscan endocrinology: a systematic and critical appraisal.Biological reviews of the Cambridge Philosophical Society · 2026
    Pooled it
  3. Article
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  5. Article
  6. Synthetic and systems biotechnology · 2026
    Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
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  14. Article
  15. Article
  16. A microbiota-substrate-metabolite-target network suggests AKT1-associated links between gut microbiota-derived metabolites and osteoporosis.International microbiology : the official journal of the Spanish Society for Microbiology · 2026
    Article
  17. Review
  18. Article
  19. Identification of Ferro-Aging-Related Biomarkers for Ulcerative Colitis Through Integrated Machine Learning, Single-Cell Analysis, and Spatial Transcriptomics.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
  20. Article

1,373 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Sunghwan KimNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, 20894, USA.ORCID 0000-0001-9828-2074
Jie ChenNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, 20894, USA.ORCID 0000-0001-7680-4978
Tiejun ChengNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, 20894, USA.ORCID 0000-0002-4486-3356
Asta GindulyteNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, 20894, USA.ORCID 0000-0001-9600-5305
Jia HeNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, 20894, USA.ORCID 0000-0002-6513-8938
Siqian HeNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, 20894, USA.ORCID 0000-0002-1707-4167
Qingliang LiNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, 20894, USA.ORCID 0000-0002-6453-236X
Benjamin A ShoemakerNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, 20894, USA.ORCID 0000-0002-1356-285X
Paul A ThiessenNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, 20894, USA.ORCID 0000-0002-1992-2086
Bo YuNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, 20894, USA.ORCID 0000-0003-3952-8921
Leonid ZaslavskyNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, 20894, USA.ORCID 0000-0001-5873-4873
Jian ZhangNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, 20894, USA.ORCID 0000-0002-6192-4632
Evan E BoltonNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, 20894, USA.ORCID 0000-0002-5959-6190

Funding

National Biomedical Information ServicesZIHLM200888 · NLM · NATIONAL LIBRARY OF MEDICINE · PI PALTOO, DINA · 2009 to 2025
$5200.7M
6 · The paper itself

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.

Indexed as

Databases, ChemicalDrug DiscoveryBiological AssayCheminformaticsProteinsProteins

Identifiers

PMID36305812
PMCPMC9825602

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.