RNA-targeted small-molecule drug discoveries: a machine-learning perspective

In the past two decades, machine learning (ML) has been extensively adopted in protein-targeted small molecule (SM) discovery. Once trained, ML models could exert their predicting abilities on large volumes of molecules within a short time. However, applying ML approaches to discover RNA-targeted SM...

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Detalles Bibliográficos
Autores principales: Xiao, Huan, Yang, Xin, Zhang, Yihao, Zhang, Zongkang, Zhang, Ge, Zhang, Bao-Ting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10283424/
https://www.ncbi.nlm.nih.gov/pubmed/37337437
http://dx.doi.org/10.1080/15476286.2023.2223498

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10283424/
https://www.ncbi.nlm.nih.gov/pubmed/37337437
http://dx.doi.org/10.1080/15476286.2023.2223498

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