CSatDTA: Prediction of Drug–Target Binding Affinity Using Convolution Model with Self-Attention

CSatDTA: Prediction of Drug–Target Binding Affinity Using Convolution Model with Self-Attention

Drug discovery, which aids to identify potential novel treatments, entails a broad range of fields of science, including chemistry, pharmacology, and biology. In the early stages of drug development, predicting drug–target affinity is crucial. The proposed model, the prediction of drug–target affini...

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Bibliographic Details
Main Authors: Ashutosh Ghimire, Hilal Tayara, Zhenyu Xuan, Kil To Chong
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:International Journal of Molecular Sciences
Subjects:
drug–target interaction
binding affinity
attention
convolution neural network
deep learning
artificial intelligence
Online Access:https://www.mdpi.com/1422-0067/23/15/8453

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