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Explainable drug side effect prediction via biologically informed graph neural network

Early detection of potential side effects (SE) is a critical and challenging task for drug discovery and patient care. In-vitro or in-vivo approach to detect potential SEs is not scalable for many drug candidates during the preclinical stage. Recent advances in explainable machine learning may facil...

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Detalles Bibliográficos
Autores principales:	Huang, Tongtong, Lin, Ko-Hong, Machado-Vieira, Rodrigo, Soares, Jair C, Jiang, Xiaoqian, Kim, Yejin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Cold Spring Harbor Laboratory 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10275013/ https://www.ncbi.nlm.nih.gov/pubmed/37333107 http://dx.doi.org/10.1101/2023.05.26.23290615

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