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...

Celý popis

Podrobná bibliografie

Vydáno v:	Frontiers in pharmacology Ročník 13; s. 1056605
Hlavní autoři:	Lei, Song, Lei, Xiujuan, Liu, Lian
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland Frontiers Media S.A 21.12.2022
Témata:	COVID-19 drug repositioning graph representation learning heterogeneous network Pharmacology variational graph autoencoders COVID-19 graph representation learning drug repositioning heterogeneous network variational graph autoencoders
ISSN:	1663-9812, 1663-9812
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!