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...

Descripción completa

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

Internet

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

Ejemplares similares