Predicting drug toxicity at the intersection of informatics and biology: DTox builds a foundation

Hao et al. (2022) present DTox (deep learning for toxicology), a neural network designed to predict and probe the sites and potential mechanisms underlying chemical toxicity; results provide a map to facilitate modular testing and improvements across multiple disparate applications.

Detalles Bibliográficos
Autores principales: Sniatynski, Matthew J., Kristal, Bruce S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9481942/
https://www.ncbi.nlm.nih.gov/pubmed/36124303
http://dx.doi.org/10.1016/j.patter.2022.100586
Descripción
Sumario:Hao et al. (2022) present DTox (deep learning for toxicology), a neural network designed to predict and probe the sites and potential mechanisms underlying chemical toxicity; results provide a map to facilitate modular testing and improvements across multiple disparate applications.

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