A deep learning method for drug-target affinity prediction based on sequence interaction information mining

A deep learning method for drug-target affinity prediction based on sequence interaction information mining

Background A critical aspect of in silico drug discovery involves the prediction of drug-target affinity (DTA). Conducting wet lab experiments to determine affinity is both expensive and time-consuming, making it necessary to find alternative approaches. In recent years, deep learning has emerged as...

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Bibliografske podrobnosti
Main Authors: Mingjian Jiang, Yunchang Shao, Yuanyuan Zhang, Wei Zhou, Shunpeng Pang
Format: Article
Jezik:English
Izdano: PeerJ Inc. 2023-12-01
Serija:PeerJ
Teme:
Deep learning
Drug-target affinity prediction
Protein sequence
Graph neural network
Convolutional neural network
Online dostop:https://peerj.com/articles/16625.pdf

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https://peerj.com/articles/16625.pdf

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