Results 141 to 150 of about 160,727 (166)

Drug-Target Affinity Prediction Based on Improved GraphDTA

2023 5th International Conference on Robotics and Computer Vision (ICRCV), 2023
Zi Ye, Xiangyang Chen, Leiluo Wang, Shukai Jiang   +3 more
openaire   +1 more source

MultiKD-DTA: Enhancing Drug-Target Affinity Prediction Through Multiscale Feature Extraction

Interdisciplinary Sciences: Computational Life Sciences
The discovery and development of novel pharmaceutical agents is characterized by high costs, lengthy timelines, and significant safety concerns. Traditional drug discovery involves pharmacologists manually screening drug molecules against protein targets, focusing on binding within protein cavities.
Riqian Hu, Ruiquan Ge, Guojian Deng, Jin Fan, Bowen Tang, Changmiao Wang   +5 more
openaire   +2 more sources

MFF-DTA: Multi-scale feature fusion for drug-target affinity prediction

Methods
Accurately predicting drug-target affinity is crucial in expediting the discovery and development of new drugs, which is a complex and risky process. Identifying these interactions not only aids in screening potential compounds but also guides further optimization.
Xiwei Tang, Wanjun Ma, Mengyun Yang, Wenjun Li   +3 more
openaire   +2 more sources

Prediction of drug-target binding affinity based on deep learning models

Computers in Biology and Medicine
The prediction of drug-target binding affinity (DTA) plays an important role in drug discovery. Computerized virtual screening techniques have been used for DTA prediction, greatly reducing the time and economic costs of drug discovery. However, these techniques have not succeeded in reversing the low success rate of new drug development.
Hao, Zhang, Xiaoqian, Liu, Wenya, Cheng, Tianshi, Wang, Yuanyuan, Chen   +4 more
openaire   +2 more sources

Contrastive Meta-Learning for Drug-Target Binding Affinity Prediction

2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022
Mei Li, Sihan Xu, Xiangrui Cai, Zhong Zhang, Hua Ji   +4 more
openaire   +1 more source

Co-VAE: Drug-Target Binding Affinity Prediction by Co-Regularized Variational Autoencoders

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
Xing-Ming Zhao, Limin Li
exaly  

A survey of drug-target interaction and affinity prediction methods via graph neural networks

Computers in Biology and Medicine, 2023
Na Han
exaly  

Drug-target continuous binding affinity prediction using multiple sources of information

Expert Systems With Applications, 2021
Betsabeh Tanoori, Mansoor Zolghadri Jahromi, Eghbal G Mansoori   +2 more
exaly  

GPCNDTA: Prediction of drug-target binding affinity through cross-attention networks augmented with graph features and pharmacophores

Computers in Biology and Medicine, 2023
Chun-Chun Wang, Xing Chen
exaly  

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

International Journal of Molecular Sciences, 2021
Shugang Zhang, Mingjian Jiang, Shuang Wang   +2 more
exaly