SAG-DTA: Prediction of Drug–Target Affinity Using Self-Attention Graph Network

SAG-DTA: Prediction of Drug–Target Affinity Using Self-Attention Graph Network

The prediction of drug–target affinity (DTA) is a crucial step for drug screening and discovery. In this study, a new graph-based prediction model named SAG-DTA (self-attention graph drug–target affinity) was implemented. Unlike previous graph-based methods, the proposed model utilized self-attentio...

Full description

Bibliographic Details
Main Authors: Shugang Zhang, Mingjian Jiang, Shuang Wang, Xiaofeng Wang, Zhiqiang Wei, Zhen Li
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:International Journal of Molecular Sciences
Subjects:
drug–target affinity
graph neural network
self-attention
Online Access:https://www.mdpi.com/1422-0067/22/16/8993

Similar Items

Similar Items