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