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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Bibliographic Details
Main Authors: Chisato Kanai, Enzo Kawasaki, Ryuta Murakami, Yusuke Morita, Atsushi Yoshimori
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Molecules
Subjects:
Online Access:https://www.mdpi.com/1420-3049/26/17/5131

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