Evidence map›Paper›PMID 42737843›Full record

ArticleInternational journal of molecular sciences2026

From Chemical Scaffold to Predicted Toxicity: A Scaffold-Aware Pipeline for Reliable In Silico Prioritization of

Anna E Rassabina, Victor S Safronov, Maxim V Fedorov

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2026. 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

3 authors.

Anna E RassabinaInstitute for Information Transmission Problems, Russian Academy of Sciences (Kharkevich Institute), Bolshoy Karetny per. 19, Moscow 127051, Russia.ORCID 0000-0003-0397-6474
Victor S SafronovInstitute for Information Transmission Problems, Russian Academy of Sciences (Kharkevich Institute), Bolshoy Karetny per. 19, Moscow 127051, Russia.ORCID 0009-0003-5668-0201
Maxim V FedorovInstitute for Information Transmission Problems, Russian Academy of Sciences (Kharkevich Institute), Bolshoy Karetny per. 19, Moscow 127051, Russia.

Funding

ANIMAL HUSBANDRY SUPPORT SERVICES FOR NIEHS27304C0002 · NIEHS · 2007 to 2008
$5.0M
Ministry of Economic Development of the Russian Federation (IGK 000000C313925P4C0002), agreement No. 139-15-2025-010NIEHS NIH HHS 27304C0002NIEHS NIH HHS 27306C0002
6 · The paper itself

Abstract

In silico methods generate numerous toxicity predictions for natural compounds, yet their mutual consistency and transferability to new structures are rarely verified, and the predictions are often taken at face value. Using furanocoumarins of the genus

Indexed as

FurocoumarinsHeracleumComputer SimulationMachine LearningMolecular Docking SimulationReproducibility of ResultsFurocoumarinsartificial intelligencefuranocoumarinsHeracleummachine learningtoxicity

Identifiers

PMID42737843
PMCPMC13565919

What OpenQuestion holds

Textmetadata
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.