Evidence map›Paper›PMID 40273444›Full record

ArticleJournal of chemical information and modeling2025

A Database for Large-Scale Docking and Experimental Results.

Brendan W Hall, Tia A Tummino, Khanh Tang, Olivier Mailhot, Mar Castanon, John J Irwin, Brian K Shoichet

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Brendan W HallDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, California 94158, United States.
Tia A TumminoDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, California 94158, United States.
Khanh TangDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, California 94158, United States.
Olivier MailhotDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, California 94158, United States.
Mar CastanonDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, California 94158, United States.
John J IrwinDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, California 94158, United States.
Brian K ShoichetDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, California 94158, United States.ORCID 0000-0002-6098-7367

Funding

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
NIGMS NIH HHS R01 GM071896NIGMS NIH HHS R35 GM122481
6 · The paper itself

Abstract

The rapid expansion of readily accessible compounds over the past six years has transformed molecular docking, improving hit rates and affinities. While many millions of molecules may score well in a docking campaign, the results are rarely fully shared, hindering the benchmarking of machine learning and chemical space exploration methods that seek to explore the expanding chemical spaces. To address this gap, we develop a website providing access to recent large library campaigns, including poses, scores, and

Indexed as

Databases, FactualMolecular Docking SimulationLigandsMachine LearningProteinsSmall Molecule LibrariesLigandsProteinsSmall Molecule Libraries

Identifiers

PMID40273444
PMCPMC12226175

What Socratic 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 Socratic graph.