Evidence map›Paper›PMID 30457858›Full record

ArticleJournal of medicinal chemistry2018

qFit-ligand Reveals Widespread Conformational Heterogeneity of Drug-Like Molecules in X-Ray Electron Density Maps.

Gydo C P van Zundert, Brandi M Hudson, Saulo H P de Oliveira, Daniel A Keedy, Rasmus Fonseca, Amelie Heliou, Pooja Suresh, Kenneth Borrelli, Tyler Day, James S Fraser and 1 more

Abstract read
In one paragraph

Article in Journal of medicinal chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Benchmarking Docking Protocols on Predicting Alternative Binding Modes.Journal of chemical information and modeling · 2026
    Article
  3. Article
  4. Review
  5. Computational Ligand-Binding Site Prediction.Advances in experimental medicine and biology · 2026
    Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. FLEXR: automated multi-conformer model building using electron-density map sampling.Acta crystallographica. Section D, Structural biology · 2023
    Article
  18. Article
  19. Article
  20. 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

11 authors at 5 institutions in 2 countries.

Gydo C P van ZundertSchrödinger , New York , New York 10036 , United States.
Brandi M HudsonDepartment of Bioengineering and Therapeutic Sciences , UCSF , San Francisco , California 94158 , United States.ORCID 0000-0003-2288-9157
Saulo H P de OliveiraSLAC National Accelerator Laboratory , Stanford University , Menlo Park , California 94025 United States.
Daniel A KeedyDepartment of Bioengineering and Therapeutic Sciences , UCSF , San Francisco , California 94158 , United States.
Rasmus FonsecaDepartment of Molecular and Cellular Physiology , Stanford University , Stanford , California 94305 , United States.
Amelie HeliouLIX, Ecole Polytechnique, CNRS, Inria , Université Paris-Saclay , 91128 Palaiseau , France.
Pooja SureshDepartment of Bioengineering and Therapeutic Sciences , UCSF , San Francisco , California 94158 , United States.
Kenneth BorrelliSchrödinger , New York , New York 10036 , United States.
Tyler DaySchrödinger , New York , New York 10036 , United States.
James S FraserDepartment of Bioengineering and Therapeutic Sciences , UCSF , San Francisco , California 94158 , United States.
Henry van den BedemDepartment of Bioengineering and Therapeutic Sciences , UCSF , San Francisco , California 94158 , United States.ORCID 0000-0003-2358-841X
University of California, San Francisco · USSchrodinger (United States) · USCentre National de la Recherche Scientifique · FRSLAC National Accelerator Laboratory · USStanford University · US

Funding

STRUCTURAL BIOLOGY TRAINING PROGRAMT32GM008284 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KORTEMME, TANJA · 1988 to 2022
$10.1M
Eliminating Critical Systematic Errors In Structural Biology With Next-Generation SimulationR01GM124149 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HOLTON, JAMES M · 2017 to 2024
$2.5M
Supplement to Resolving ensemble averaged conformations by multi-temperature x-ray crystallography - Equipment 2020R01GM123159 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FRASER, JAMES SOLOMON · 2018 to 2021
$2.3M
NIGMS NIH HHS R01 GM123159NIGMS NIH HHS R01 GM124149NIGMS NIH HHS T32 GM008284
6 · The paper itself

Abstract

Proteins and ligands sample a conformational ensemble that governs molecular recognition, activity, and dissociation. In structure-based drug design, access to this conformational ensemble is critical to understand the balance between entropy and enthalpy in lead optimization. However, ligand conformational heterogeneity is currently severely underreported in crystal structures in the Protein Data Bank, owing in part to a lack of automated and unbiased procedures to model an ensemble of protein-ligand states into X-ray data. Here, we designed a computational method, qFit-ligand, to automatically resolve conformationally averaged ligand heterogeneity in crystal structures, and applied it to a large set of protein receptor-ligand complexes. In an analysis of the cancer related BRD4 domain, we found that up to 29% of protein crystal structures bound with drug-like molecules present evidence of unmodeled, averaged, relatively isoenergetic conformations in ligand-receptor interactions. In many retrospective cases, these alternate conformations were adventitiously exploited to guide compound design, resulting in improved potency or selectivity. Combining qFit-ligand with high-throughput screening or multitemperature crystallography could therefore augment the structure-based drug design toolbox.

Indexed as

Crystallography, X-RayModels, MolecularAlgorithmsAmyloid Precursor Protein SecretasesAspartic Acid EndopeptidasesBromodomain Containing ProteinsCalibrationCell Cycle ProteinsComputational BiologyDatabases, ProteinDrug DesignElectronsHigh-Throughput Screening AssaysLigandsNuclear ProteinsProtein DomainsAmyloid Precursor Protein SecretasesAspartic Acid EndopeptidasesBACE1 protein, humanBRD4 protein, humanBromodomain Containing ProteinsCell Cycle ProteinsLigandsNuclear ProteinsProteinsTranscription Factors

Identifiers

PMID30457858
PMCPMC6820680
OpenAlexW2792074024

What OpenQuestion holds

Textmetadata
LicenceTDM
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.