Evidence map›Paper›PMID 39753705›Full record

ArticleNature chemical biology2025

The impact of library size and scale of testing on virtual screening.

Fangyu Liu, Olivier Mailhot, Isabella S Glenn, Seth F Vigneron, Violla Bassim, Xinyu Xu, Karla Fonseca-Valencia, Matthew S Smith, Dmytro S Radchenko, James S Fraser and 3 more

Abstract read
In one paragraph

Article in Nature chemical biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Strategies for Identifying Molecules of Interest in Large Chemical Spaces.Journal of chemical information and modeling · 2026
    Article
  8. Article
  9. Library Docking for Cannabinoid-2 Receptor Ligands.Journal of medicinal chemistry · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Library docking for Cannabinoid-2 Receptor ligands.bioRxiv : the preprint server for biology · 2026
    Article
  18. Large Library Docking for Polypharmacology.Journal of medicinal chemistry · 2026
    Article
  19. A General Group Testing Strategy for Discovering Chemical Cooperativity.Angewandte Chemie (International ed. in English) · 2026
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Fangyu LiuDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA.
Olivier MailhotDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-7533-4561
Isabella S GlennDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA.
Seth F VigneronDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA.
Violla BassimDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA.
Xinyu XuDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA.
Karla Fonseca-ValenciaDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-7495-6262
Matthew S SmithDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA.
Dmytro S RadchenkoEnamine Ltd, Kyїv, Ukraine.ORCID http://orcid.org/0000-0001-5444-7754
James S FraserDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-5080-2859
Yurii S MorozEnamine Ltd, Kyїv, Ukraine. ysmoroz@gmail.com.ORCID http://orcid.org/0000-0001-6073-002X
John J IrwinDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA. jir322@gmail.com.ORCID http://orcid.org/0000-0002-1195-6417
Brian K ShoichetDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA. bshoichet@gmail.com.ORCID http://orcid.org/0000-0002-6098-7367

Funding

User Training and OutreachP30GM124169 · NIGMS · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI Gregory L Hura · 2017 to 2026
$28.6M
Development and Testing of New Computational Methods for Ligand Discovery and MechanismR35GM122481 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Brian K Shoichet · 2017 to 2026
$8.5M
A Web-Based Automatic Virtual Screening SystemR01GM071896 · NIGMS · UNIVERSITY OF TORONTO · PI IRWIN, JOHN J. · 2004 to 2024
$6.0M
Research Training in Chemistry and Chemical BiologyT32GM145460 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Jason E Gestwicki · 2022 to 2026
$3.1M
Equipment for Discovering and Manipulating Macromolecular Conformational EnsemblesR35GM145238 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI James Solomon Fraser · 2022 to 2026
$3.1M
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
NIGMS NIH HHS P30 GM124169NIGMS NIH HHS R01 GM071896NIGMS NIH HHS R01 GM124149NIGMS NIH HHS R35 GM122481NIGMS NIH HHS R35 GM145238NIGMS NIH HHS T32 GM145460U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) GM145238U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) GM71896U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) R35GM122481
6 · The paper itself

Abstract

Virtual ligand libraries for ligand discovery have recently increased 10,000-fold. Whether this has improved hit rates and potencies has not been directly tested. Meanwhile, typically only dozens of docking hits are assayed, clouding hit-rate interpretation. Here we docked a 1.7 billion-molecule virtual library against β-lactamase, testing 1,521 new molecules and comparing the results to a 99 million-molecule screen where 44 molecules were tested. In a larger screen, hit rates improved twofold, more scaffolds were discovered and potency improved. Fifty-fold more inhibitors were found, supporting the idea that the large libraries harbor many more ligands than are being tested. In sampling smaller sets from the 1,521, hit rates only converged when several hundred molecules were tested. Hit rates and affinities improved steadily with docking score. It may be that as the scale of docking libraries and their testing grows, both ligands and our ability to rank them will improve.

Indexed as

beta-Lactamase InhibitorsSmall Molecule Librariesbeta-LactamasesDrug DiscoveryDrug Evaluation, PreclinicalLigandsMolecular Docking Simulationbeta-Lactamase Inhibitorsbeta-LactamasesLigandsSmall Molecule Libraries

Identifiers

PMID39753705
PMCPMC12229919

What OpenQuestion holds

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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.