Drug repositioning based on heterogeneous networks and variational graph autoencoders

Predicting new therapeutic effects (drug repositioning) of existing drugs plays an important role in drug development. However, traditional wet experimental prediction methods are usually time-consuming and costly. The emergence of more and more artificial intelligence-based drug repositioning metho...

Descripción completa

Detalles Bibliográficos
Autores principales: Lei, Song, Lei, Xiujuan, Liu, Lian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Pharmacology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9812491/
https://www.ncbi.nlm.nih.gov/pubmed/36618933
http://dx.doi.org/10.3389/fphar.2022.1056605

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9812491/
https://www.ncbi.nlm.nih.gov/pubmed/36618933
http://dx.doi.org/10.3389/fphar.2022.1056605

Ejemplares similares