Predicting Drug-Induced Liver Injury Using Convolutional Neural Network and Molecular Fingerprint-Embedded Features

[Image: see text] As a critical issue in drug development and postmarketing safety surveillance, drug-induced liver injury (DILI) leads to failures in clinical trials as well as retractions of on-market approved drugs. Therefore, it is important to identify DILI compounds in the early-stages through...

Descripción completa

Detalles Bibliográficos
Autores principales: Nguyen-Vo, Thanh-Hoang, Nguyen, Loc, Do, Nguyet, Le, Phuc H., Nguyen, Thien-Ngan, Nguyen, Binh P., Le, Ly
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2020
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7542839/
https://www.ncbi.nlm.nih.gov/pubmed/33043223
http://dx.doi.org/10.1021/acsomega.0c03866

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7542839/
https://www.ncbi.nlm.nih.gov/pubmed/33043223
http://dx.doi.org/10.1021/acsomega.0c03866

Ejemplares similares