Accurate identification of snoRNA targets using variational graph autoencoder to advance the redevelopment of traditional medicines

Existing studies indicate that dysregulation or abnormal expression of small nucleolar RNA (snoRNA) is closely associated with various diseases, including lung cancer. Furthermore, these diseases often involve multiple targets, making the redevelopment of traditional medicines highly promising. Accu...

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Autori principali:	Zhina Wang, Yangyuan Chen, Hongming Ma, Hong Gao, Yangbin Zhu, Hongwu Wang, Nan Zhang
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Frontiers Media S.A. 2025-01-01
Serie:	Frontiers in Pharmacology
Soggetti:	redevelopment of traditional medicines snoRNA therapeutic targets lung cancer variational graph autoencoder (VGAE) artificial intelligence (AI)
Accesso online:	https://www.frontiersin.org/articles/10.3389/fphar.2024.1529128/full
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