Evidence map›Paper›PMID 39818814›Full record

ArticleJournal of chemical information and modeling2025

Applications of Machine Learning Approaches for the Discovery of SARS-CoV-2 PLpro Inhibitors.

Sourav Pal, Kellie D Nance, Dirgha Raj Joshi, Stephen C Kales, Lin Ye, Xin Hu, Khalida Shamim, Alexey V Zakharov

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 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. Article
  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

8 authors.

Sourav PalDivision of Preclinical Innovation, National Center for Advancing Translational Sciences (NCATS), National Institutes of Health, Rockville, Maryland 20850, United States.
Kellie D NanceDivision of Preclinical Innovation, National Center for Advancing Translational Sciences (NCATS), National Institutes of Health, Rockville, Maryland 20850, United States.ORCID 0000-0002-4396-9124
Dirgha Raj JoshiDivision of Preclinical Innovation, National Center for Advancing Translational Sciences (NCATS), National Institutes of Health, Rockville, Maryland 20850, United States.
Stephen C KalesDivision of Preclinical Innovation, National Center for Advancing Translational Sciences (NCATS), National Institutes of Health, Rockville, Maryland 20850, United States.
Lin YeDivision of Preclinical Innovation, National Center for Advancing Translational Sciences (NCATS), National Institutes of Health, Rockville, Maryland 20850, United States.
Xin HuDivision of Preclinical Innovation, National Center for Advancing Translational Sciences (NCATS), National Institutes of Health, Rockville, Maryland 20850, United States.
Khalida ShamimDivision of Preclinical Innovation, National Center for Advancing Translational Sciences (NCATS), National Institutes of Health, Rockville, Maryland 20850, United States.
Alexey V ZakharovDivision of Preclinical Innovation, National Center for Advancing Translational Sciences (NCATS), National Institutes of Health, Rockville, Maryland 20850, United States.ORCID 0000-0003-2466-1711

Funding

Intramural NIH HHS Z99 TR999999
6 · The paper itself

Abstract

The global impact of SARS-CoV-2 highlights the need for treatments beyond vaccination, given the limited availability of effective medications. While Pfizer introduced

Indexed as

Antiviral AgentsCoronavirus 3C ProteasesDrug DiscoveryMachine LearningProtease InhibitorsSARS-CoV-2Coronavirus Papain-Like ProteasesCOVID-19 Drug TreatmentHigh-Throughput Screening AssaysHumansMolecular Docking SimulationSmall Molecule LibrariesAntiviral AgentsCoronavirus 3C ProteasesCoronavirus Papain-Like Proteasespapain-like protease, SARS-CoV-2Protease InhibitorsSmall Molecule Libraries

Identifiers

PMID39818814
PMCPMC13393007

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.