UnbiasedDTI: Mitigating Real-World Bias of Drug-Target Interaction Prediction by Using Deep Ensemble-Balanced Learning

UnbiasedDTI: Mitigating Real-World Bias of Drug-Target Interaction Prediction by Using Deep Ensemble-Balanced Learning

Drug-target interaction (DTI) prediction through in vitro methods is expensive and time-consuming. On the other hand, computational methods can save time and money while enhancing drug discovery efficiency. Most of the computational methods frame DTI prediction as a binary classification task. One i...

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Bibliographic Details
Main Authors: Aida Tayebi, Niloofar Yousefi, Mehdi Yazdani-Jahromi, Elayaraja Kolanthai, Craig J. Neal, Sudipta Seal, Ozlem Ozmen Garibay
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Molecules
Subjects:
drug-target interaction
ensemble learning
deep learning
machine learning
spike protein
SARS-CoV-2
Online Access:https://www.mdpi.com/1420-3049/27/9/2980

Internet

https://www.mdpi.com/1420-3049/27/9/2980

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