Cross-chemical and cross-species toxicity prediction: Benchmarking and a novel 3D-structure-based deep learning model.
- DOI
- 10.1093/etojnl/vgag081
- Published
- 2026 Sep 1
- Container
- Environmental toxicology and chemistry
- Publisher
- Not recorded
- Open access
- unknown
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limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1093/etojnl/vgag081,
title = {Cross-chemical and cross-species toxicity prediction: Benchmarking and a novel 3D-structure-based deep learning model.},
author = {Yuan R and Shaw J and Tang H and Ye Y},
year = {2026},
journal = {Environmental toxicology and chemistry},
doi = {10.1093/etojnl/vgag081},
url = {https://doi.org/10.1093/etojnl/vgag081}
}RIS
TY - JOUR TI - Cross-chemical and cross-species toxicity prediction: Benchmarking and a novel 3D-structure-based deep learning model. AU - Yuan R AU - Shaw J AU - Tang H AU - Ye Y PY - 2026 JO - Environmental toxicology and chemistry DO - 10.1093/etojnl/vgag081 UR - https://doi.org/10.1093/etojnl/vgag081 ER -
APA
R, Y., J, S., H, T., & Y, Y. (2026). Cross-chemical and cross-species toxicity prediction: Benchmarking and a novel 3D-structure-based deep learning model.. Environmental toxicology and chemistry. https://doi.org/10.1093/etojnl/vgag081
Source records
- pubmed · retrieved 2026-11-10T12:49:53.127Z