Drug-Target Affinity Prediction Based on Topological Enhanced Graph Neural Networks - researchr publication related

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Hengliang Guo, Congxiang Zhang, Jiandong Shang, Dujuan Zhang, Yang Guo, Kang Gao, Kecheng Yang 0007, Xu Gao, Dezhong Yao 0002, Wanting Chen, Mengfan Yan, Gang Wu. Drug-Target Affinity Prediction Based on Topological Enhanced Graph Neural Networks. Journal of Chemical Information and Computer Sciences, 65(7):3749-3760, 2025. [doi]

The following publications are possibly variants of this publication:

Drug-Target Binding Affinity Prediction Based on Graph Neural Networks and Word2vecMinghao Xia, Jing Hu 0003, Xiaolong Zhang, Xiaoli Lin. icic 2022: 496-506 [doi]

Drug Target Affinity Prediction Based on Graph Structural Enhancement and Multi-scale Topological Feature FusionShuo Hu, Jing Hu 0003, Xiaolong Zhang 0002. icic 2024: 131-142 [doi]

Drug-Target Affinity Prediction Based on Self-attention Graph Pooling and Mutual Interaction Neural NetworkXizi Wang, Jing Hu, Xiaolong Zhang. icic 2023: 776-790 [doi]

T-GraphDTA: A Drug-Target Binding Affinity Prediction Framework Based on Protein Pre-training Model and Hybrid Graph Neural NetworkYijia Wu, Yanmei Lin, Yuzhong Peng, Ru Zhang, Li Cai. icai4 2024: 113-123 [doi]

GSAML-DTA: An interpretable drug-target binding affinity prediction model based on graph neural networks with self-attention mechanism and mutual informationJiaqi Liao, Haoyang Chen, Lesong Wei, Leyi Wei. cbm, 150:106145, 2022. [doi]

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