Article

Mechanistically Interpretable Toxicity Prediction Through Multimodal Integration of Structure and Transcriptomics

2025-11-14

Abstract excerpt

Advances in computational toxicology increasingly emphasize the need for models that deliver both scalable predictive performance and mechanistic insights. Nevertheless, most approaches fall short of capturing the underlying mechanisms that drive toxicity. Herein, we describe a scalable multimodal modeling framework that integrates chemical fingerprints with high-throughput transcriptomic dose-response profiles ac...

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Literature Corpus work: f40fbc6f-71db-5340-994a-a029d8a4976e
DOI: 10.1101/2025.11.14.686754

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