Evidence map›Paper›PMID 42367837›Full record

ArticlebioRxiv : the preprint server for biology2026

Tox21mer, A transformer foundation model for Tox21 high-throughput concentration-response curves data.

Leping Li, Jisoo Hwang, Keith Shockley, Yuanyuan Li, Alison Motsinger-Reif, Jui-Hua Hsieh, Scott Auerbach, David Reif

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

8 authors.

Leping LiBiostatistics and Computational Biology Branch.ORCID 0000-0003-4208-0259
Jisoo HwangBiostatistics and Computational Biology Branch.
Keith ShockleyBiostatistics and Computational Biology Branch.
Yuanyuan LiBiostatistics and Computational Biology Branch.
Alison Motsinger-ReifBiostatistics and Computational Biology Branch.
Jui-Hua HsiehPredictive Toxicology Branch, National Institute of Environmental Health Sciences, Durham, NC 27709.
Scott AuerbachPredictive Toxicology Branch, National Institute of Environmental Health Sciences, Durham, NC 27709.
David ReifPredictive Toxicology Branch, National Institute of Environmental Health Sciences, Durham, NC 27709.

Funding

BioinformaticsZIAES101765 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI LI, LEPING · 2009 to 2025
$21.0M
Intramural NIH HHS ZIA ES101765
6 · The paper itself

Abstract

The U.S. Tox21 collaboration has generated a large reference library of high-throughput concentration-response assays. Here we present Tox21mer, a 43.5-million-parameter transformer that encodes each Tox21 concentration-response curve together with assay metadata into a 768-dimensional representation. Tox21mer was pretrained on ~2.5 million curves from 102 assay protocols and 6,727 compounds using masked-response reconstruction as the primary objective, with low-weight auxiliary supervision on assay outcome and AC

Identifiers

PMID42367837
PMCPMC13308148

What OpenQuestion holds

Textmetadata
LicenceCC0
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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.