Evidence map›Paper›PMID 42205041›Full record

ArticleNucleic acids research2026

PLATE-VS: a web server for protein-ligand assay curation and cross-target virtual screening datasets.

Ao Xu, Yongchan Hong, Jordy Homing Lam, Vsevolod Katritch

Abstract read
In one paragraph

Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

4 authors.

Ao XuDepartment of Computer Science, University of Southern California, Los Angeles, 90089,United States.
Yongchan HongDepartment of Quantitative and Computational Biology, University of Southern California, Los Angeles, 90089,United States.
Jordy Homing LamDepartment of Quantitative and Computational Biology, University of Southern California, Los Angeles, 90089,United States.ORCID 0000-0002-5496-6228
Vsevolod KatritchDepartment of Quantitative and Computational Biology, University of Southern California, Los Angeles, 90089,United States.ORCID 0000-0003-3883-4505

Funding

Computational approaches to discover ligands with new chemotypes and functional propertiesR35GM153437 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI VSEVOLOD KATRITCH · 2024 to 2026
$899k
Croucher Foundation of Hong KongNIGMS NIH HHS R35 GM153437NIH HHS R35GM153437
6 · The paper itself

Abstract

PLATE-VS (Protein-Ligand Affinity-based Target Evaluation-Virtual Screening, https://www.drugbench.org/) is a free, openly accessible web server that integrates protein structural information, ligand activity data, and property-matched decoys to produce training-ready datasets for virtual screening and molecular machine learning. Unlike structure-only or assay-only resources, PLATE-VS addresses the bottleneck in obtaining clean protein-ligand datasets with principled train/test splits, spanning a range of difficulty, from those allowing higher levels of similarity with known ligand-receptor pairs to more challenging cross-target generalization. The server enables queries and inspection of data in various formats, returning interactive assay summaries with harmonized activities, curated metadata, a stratified panel of protein-ligand complexes, and downloadable split tables. These data and the associated Application Programming Interface can be used to facilitate the study of binding activity relationships in protein-ligand interactions.

Indexed as

ProteinsSoftwareDrug Evaluation, PreclinicalInternetLigandsMachine LearningProtein BindingUser-Computer InterfaceLigandsProteins

Identifiers

PMID42205041
PMCPMC13355059

What OpenQuestion holds

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LicenceCC BY-NC
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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.