Evidence map›Paper›PMID 41465489›Full record

ArticleInternational journal of molecular sciences2025

QSAR Modeling for Predicting IC

Alexey A Lagunin, Elena Y Lisitsa, Anastasia V Rudik, Sergey M Ivanov, Alexander V Dmitriev, Elena S Muraviova, Dmitry A Filimonov, Vladimir V Poroikov

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Alexey A LaguninDepartment of Bioinformatics, Institute of Biomedical Chemistry, 119121 Moscow, Russia.ORCID 0000-0003-1757-8004
Elena Y LisitsaDepartment of Bioinformatics, Pirogov Russian National Research Medical University, 117513 Moscow, Russia.
Anastasia V RudikDepartment of Bioinformatics, Institute of Biomedical Chemistry, 119121 Moscow, Russia.ORCID 0000-0002-8916-9675
Sergey M IvanovDepartment of Bioinformatics, Institute of Biomedical Chemistry, 119121 Moscow, Russia.ORCID 0000-0002-3177-6237
Alexander V DmitrievDepartment of Bioinformatics, Institute of Biomedical Chemistry, 119121 Moscow, Russia.ORCID 0000-0002-2431-3429
Elena S MuraviovaDepartment of Bioinformatics, Pirogov Russian National Research Medical University, 117513 Moscow, Russia.
Dmitry A FilimonovDepartment of Bioinformatics, Institute of Biomedical Chemistry, 119121 Moscow, Russia.ORCID 0000-0002-0339-8478
Vladimir V PoroikovDepartment of Bioinformatics, Institute of Biomedical Chemistry, 119121 Moscow, Russia.ORCID 0000-0001-7937-2621

Funding

Russian Science Foundation 25-15-00300
6 · The paper itself

Abstract

Assessing cytotoxicity towards human cells is a critical step in preclinical drug development. In preclinical toxicology, human cell lines allow for the analysis of both general and organ-specific toxicity, thus, helping reduce development time and costs. Predicting cytotoxic IC

Indexed as

Quantitative Structure-Activity RelationshipAlgorithmsCell LineCell Line, TumorHumansInhibitory Concentration 50Softwarecell linesCLC-PredcytotoxicityGUSARin silico predictionpreclinical toxicity assessmentQSAR

Identifiers

PMID41465489
PMCPMC12733303

What Socratic holds

Textmetadata
LicenceCC BY
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.