Evidence map›Paper›PMID 41846970›Full record

ArticlebioRxiv : the preprint server for biology2026

vToxiNet: a biologically constrained deep learning framework for interpretable prediction of drug-induced hepatotoxicity.

Xuelian Jia, Tong Wang, Daniel P Russo, Lauren M Aleksunes, Shuo Xiao, Hao Zhu

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

6 authors.

Xuelian JiaCenter for Biomedical Informatics and Genomics, School of Medicine, Tulane University, New Orleans, Louisiana, USA.ORCID 0000-0001-9901-9104
Tong WangCenter for Biomedical Informatics and Genomics, School of Medicine, Tulane University, New Orleans, Louisiana, USA.ORCID 0000-0002-6719-7368
Daniel P RussoDepartment of Chemistry and Biochemistry, Rowan University, Glassboro, New Jersey, USA.
Lauren M AleksunesDepartment of Pharmacology and Toxicology, Ernest Mario School of Pharmacy, Rutgers University, Piscataway, New Jersey, USA.ORCID 0000-0002-0032-1037
Shuo XiaoDepartment of Pharmacology and Toxicology, Ernest Mario School of Pharmacy, Rutgers University, Piscataway, New Jersey, USA.ORCID 0000-0001-7225-9132
Hao ZhuCenter for Biomedical Informatics and Genomics, School of Medicine, Tulane University, New Orleans, Louisiana, USA.ORCID 0000-0002-3559-6129

Funding

Translational Research Support CoreP30ES005022 · NIEHS · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI Emily S Barrett · 1988 to 2026
$47.4M
Discovering Chemical Activity Networks-Predicting Bioactivity Based on StructureR35ES031709 · NIEHS · OREGON STATE UNIVERSITY · PI Robyn L Tanguay · 2021 to 2026
$5.2M
Mechanism-Driven Virtual Adverse Outcome Pathway Modeling for HepatotoxicityR01ES031080 · NIEHS · TULANE UNIVERSITY OF LOUISIANA · PI ZHU, HAO · 2020 to 2024
$2.3M
NIEHS NIH HHS P30 ES005022NIEHS NIH HHS R01 ES031080NIEHS NIH HHS R35 ES031709
6 · The paper itself

Abstract

Hepatotoxicity remains a leading cause of drug attrition and post-marketing withdrawal, resulting from diverse and complex toxicity mechanisms. Traditional

Identifiers

PMID41846970
PMCPMC12991077

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.