Article

Knowledge-guided deep learning models of drug toxicity improve interpretation

2022-02-28

Abstract excerpt

<h4>ABSTRACT</h4> In drug development, a major reason for attrition is the lack of understanding of cellular mechanisms governing drug toxicity. The black-box nature of conventional classification models has limited their utility in identifying toxicity pathways. Here we developed DTox ( D eep learning for Tox icology), an interpretation framework for knowledge-guided neural networks, which can predict compound...

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Literature Corpus work: fea10aee-7c0a-5f1c-a7f7-ff4bfbc4e8ad
DOI: 10.1101/2022.02.28.482300

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