Evidence map›Paper›PMID 35026162›Full record

ArticleStructure (London, England : 1993)2022

Simplified quality assessment for small-molecule ligands in the Protein Data Bank.

Chenghua Shao, John D Westbrook, Changpeng Lu, Charmi Bhikadiya, Ezra Peisach, Jasmine Y Young, Jose M Duarte, Robert Lowe, Sijian Wang, Yana Rose and 2 more

Abstract read
In one paragraph

Article in Structure (London, England : 1993), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–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

16 citing papers in PubMed.

  1. Avoiding pitfalls when modelling ligands in macromolecular crystallography.Acta crystallographica. Section D, Structural biology · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Ten rules for a structural bioinformatic analysis.PLoS computational biology · 2025
    Article
  7. Article
  8. Article
  9. Computational exploration ofBiochemistry and biophysics reports · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Journal of chemical information and modeling · 2023
    Article
  14. Article
  15. Review
  16. Article
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

12 authors.

Chenghua ShaoResearch Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB), Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, 174 Frelinghuysen Road, Piscataway, NJ 08854, USA. Electronic address: chenghua.shao@rcsb.org.
John D WestbrookResearch Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB), Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, 174 Frelinghuysen Road, Piscataway, NJ 08854, USA.
Changpeng LuInstitute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, 174 Frelinghuysen Road, Piscataway, NJ 08854, USA.
Charmi BhikadiyaResearch Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB), Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA.
Ezra PeisachResearch Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB), Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, 174 Frelinghuysen Road, Piscataway, NJ 08854, USA.
Jasmine Y YoungResearch Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB), Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, 174 Frelinghuysen Road, Piscataway, NJ 08854, USA.
Jose M DuarteResearch Collaboratory for Structural Bioinformatics Protein Data Bank, San Diego Supercomputer Center, University of California San Diego, La Jolla, CA 92093, USA.
Robert LoweResearch Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB), Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA.
Sijian WangInstitute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, 174 Frelinghuysen Road, Piscataway, NJ 08854, USA; Department of Statistics and Biostatistics, Rutgers, The State University of New Jersey, New Brunswick, NJ 08903, USA.
Yana RoseResearch Collaboratory for Structural Bioinformatics Protein Data Bank, San Diego Supercomputer Center, University of California San Diego, La Jolla, CA 92093, USA.
Zukang FengResearch Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB), Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, 174 Frelinghuysen Road, Piscataway, NJ 08854, USA.
Stephen K BurleyResearch Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB), Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, 174 Frelinghuysen Road, Piscataway, NJ 08854, USA; Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, New Brunswick, NJ 08903, USA; Research Collaboratory for Structural Bioinformatics Protein Data Bank, San Diego Supercomputer Center, University of California San Diego, La Jolla, CA 92093, USA; Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA 92093, USA; Department of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA. Electronic address: stephen.burley@rcsb.org.

Funding

PDB MANAGEMENT BY THE RESEARCH COLLABORATORY FOR STRUCTURAL BIOINFORMATICSR01GM133198 · NIGMS · RUTGERS, THE STATE UNIV OF N.J. · PI BURLEY, STEPHEN K · 2019 to 2023
$19.3M
NIGMS NIH HHS R01 GM133198
6 · The paper itself

Abstract

More than 70% of the experimentally determined macromolecular structures in the Protein Data Bank (PDB) contain small-molecule ligands. Quality indicators of ∼643,000 ligands present in ∼106,000 PDB X-ray crystal structures have been analyzed. Ligand quality varies greatly with regard to goodness of fit between ligand structure and experimental data, deviations in bond lengths and angles from known chemical structures, and inappropriate interatomic clashes between the ligand and its surroundings. Based on principal component analysis, correlated quality indicators of ligand structure have been aggregated into two largely orthogonal composite indicators measuring goodness of fit to experimental data and deviation from ideal chemical structure. Ranking of the composite quality indicators across the PDB archive enabled construction of uniformly distributed composite ranking score. This score is implemented at RCSB.org to compare chemically identical ligands in distinct PDB structures with easy-to-interpret two-dimensional ligand quality plots, allowing PDB users to quickly assess ligand structure quality and select the best exemplars.

Indexed as

Databases, ProteinLigandsModels, MolecularProtein ConformationProteinsSmall Molecule LibrariesLigandsProteinsSmall Molecule Librariescomposite ranking scoreligand quality indicatorligand structureligand structure qualitymultivariate analysisPDBprincipal component analysisProtein Data BankRCSB PDBsmall-molecule ligand

Identifiers

PMID35026162
PMCPMC8849442

What OpenQuestion holds

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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.