Computational Prediction of Compound–Protein Interactions for Orphan Targets Using CGBVS

A variety of Artificial Intelligence (AI)-based (Machine Learning) techniques have been developed with regard to in silico prediction of Compound–Protein interactions (CPI)—one of which is a technique we refer to as chemical genomics-based virtual screening (CGBVS). Prediction calculations done via...

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Detalles Bibliográficos
Autores principales: Kanai, Chisato, Kawasaki, Enzo, Murakami, Ryuta, Morita, Yusuke, Yoshimori, Atsushi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8434178/
https://www.ncbi.nlm.nih.gov/pubmed/34500569
http://dx.doi.org/10.3390/molecules26175131

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8434178/
https://www.ncbi.nlm.nih.gov/pubmed/34500569
http://dx.doi.org/10.3390/molecules26175131

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