Artificial intelligence-based computational framework for drug-target prioritization and inference of novel repositionable drugs for Alzheimer’s disease

BACKGROUND: Identifying novel therapeutic targets is crucial for the successful development of drugs. However, the cost to experimentally identify therapeutic targets is huge and only approximately 400 genes are targets for FDA-approved drugs. As a result, it is inevitable to develop powerful comput...

Descripción completa

Detalles Bibliográficos
Autores principales: Tsuji, Shingo, Hase, Takeshi, Yachie-Kinoshita, Ayako, Nishino, Taiko, Ghosh, Samik, Kikuchi, Masataka, Shimokawa, Kazuro, Aburatani, Hiroyuki, Kitano, Hiroaki, Tanaka, Hiroshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8091739/
https://www.ncbi.nlm.nih.gov/pubmed/33941241
http://dx.doi.org/10.1186/s13195-021-00826-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8091739/
https://www.ncbi.nlm.nih.gov/pubmed/33941241
http://dx.doi.org/10.1186/s13195-021-00826-3

Ejemplares similares