These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
160 related articles for article (PubMed ID: 37006369)
1. 3DProtDTA: a deep learning model for drug-target affinity prediction based on residue-level protein graphs. Voitsitskyi T; Stratiichuk R; Koleiev I; Popryho L; Ostrovsky Z; Henitsoi P; Khropachov I; Vozniak V; Zhytar R; Nechepurenko D; Yesylevskyy S; Nafiiev A; Starosyla S RSC Adv; 2023 Mar; 13(15):10261-10272. PubMed ID: 37006369 [TBL] [Abstract][Full Text] [Related]
2. Drug-target affinity prediction with extended graph learning-convolutional networks. Qi H; Yu T; Yu W; Liu C BMC Bioinformatics; 2024 Feb; 25(1):75. PubMed ID: 38365583 [TBL] [Abstract][Full Text] [Related]
3. A deep learning method for drug-target affinity prediction based on sequence interaction information mining. Jiang M; Shao Y; Zhang Y; Zhou W; Pang S PeerJ; 2023; 11():e16625. PubMed ID: 38099302 [TBL] [Abstract][Full Text] [Related]
4. NG-DTA: Drug-target affinity prediction with n-gram molecular graphs. Tsui LI; Hsu TC; Lin C Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-4. PubMed ID: 38082648 [TBL] [Abstract][Full Text] [Related]
5. MSGNN-DTA: Multi-Scale Topological Feature Fusion Based on Graph Neural Networks for Drug-Target Binding Affinity Prediction. Wang S; Song X; Zhang Y; Zhang K; Liu Y; Ren C; Pang S Int J Mol Sci; 2023 May; 24(9):. PubMed ID: 37176031 [TBL] [Abstract][Full Text] [Related]
6. GeneralizedDTA: combining pre-training and multi-task learning to predict drug-target binding affinity for unknown drug discovery. Lin S; Shi C; Chen J BMC Bioinformatics; 2022 Sep; 23(1):367. PubMed ID: 36071406 [TBL] [Abstract][Full Text] [Related]
7. A comprehensive review of the recent advances on predicting drug-target affinity based on deep learning. Zeng X; Li SJ; Lv SQ; Wen ML; Li Y Front Pharmacol; 2024; 15():1375522. PubMed ID: 38628639 [TBL] [Abstract][Full Text] [Related]
8. Prediction of drug-target binding affinity based on deep learning models. Zhang H; Liu X; Cheng W; Wang T; Chen Y Comput Biol Med; 2024 May; 174():108435. PubMed ID: 38608327 [TBL] [Abstract][Full Text] [Related]
9. G-K BertDTA: A graph representation learning and semantic embedding-based framework for drug-target affinity prediction. Qiu X; Wang H; Tan X; Fang Z Comput Biol Med; 2024 May; 173():108376. PubMed ID: 38552281 [TBL] [Abstract][Full Text] [Related]
10. AttentionMGT-DTA: A multi-modal drug-target affinity prediction using graph transformer and attention mechanism. Wu H; Liu J; Jiang T; Zou Q; Qi S; Cui Z; Tiwari P; Ding Y Neural Netw; 2024 Jan; 169():623-636. PubMed ID: 37976593 [TBL] [Abstract][Full Text] [Related]
11. Drug-target affinity prediction method based on multi-scale information interaction and graph optimization. Zhu Z; Yao Z; Zheng X; Qi G; Li Y; Mazur N; Gao X; Gong Y; Cong B Comput Biol Med; 2023 Dec; 167():107621. PubMed ID: 37907030 [TBL] [Abstract][Full Text] [Related]
12. GSAML-DTA: An interpretable drug-target binding affinity prediction model based on graph neural networks with self-attention mechanism and mutual information. Liao J; Chen H; Wei L; Wei L Comput Biol Med; 2022 Nov; 150():106145. PubMed ID: 37859276 [TBL] [Abstract][Full Text] [Related]
13. BiComp-DTA: Drug-target binding affinity prediction through complementary biological-related and compression-based featurization approach. Kalemati M; Zamani Emani M; Koohi S PLoS Comput Biol; 2023 Mar; 19(3):e1011036. PubMed ID: 37000857 [TBL] [Abstract][Full Text] [Related]
14. A survey of drug-target interaction and affinity prediction methods via graph neural networks. Zhang Y; Hu Y; Han N; Yang A; Liu X; Cai H Comput Biol Med; 2023 Sep; 163():107136. PubMed ID: 37329615 [TBL] [Abstract][Full Text] [Related]
15. Drug-target binding affinity prediction using message passing neural network and self supervised learning. Xia L; Xu L; Pan S; Niu D; Zhang B; Li Z BMC Genomics; 2023 Sep; 24(1):557. PubMed ID: 37730555 [TBL] [Abstract][Full Text] [Related]
16. SSR-DTA: Substructure-aware multi-layer graph neural networks for drug-target binding affinity prediction. Liu Y; Xia X; Gong Y; Song B; Zeng X Artif Intell Med; 2024 Nov; 157():102983. PubMed ID: 39321746 [TBL] [Abstract][Full Text] [Related]
17. Sequence-based drug-target affinity prediction using weighted graph neural networks. Jiang M; Wang S; Zhang S; Zhou W; Zhang Y; Li Z BMC Genomics; 2022 Jun; 23(1):449. PubMed ID: 35715739 [TBL] [Abstract][Full Text] [Related]
18. MvGraphDTA: multi-view-based graph deep model for drug-target affinity prediction by introducing the graphs and line graphs. Zeng X; Zhong KY; Meng PY; Li SJ; Lv SQ; Wen ML; Li Y BMC Biol; 2024 Aug; 22(1):182. PubMed ID: 39183297 [TBL] [Abstract][Full Text] [Related]
19. GraphCL-DTA: A Graph Contrastive Learning With Molecular Semantics for Drug-Target Binding Affinity Prediction. Yang X; Yang G; Chu J IEEE J Biomed Health Inform; 2024 Aug; 28(8):4544-4552. PubMed ID: 38190664 [TBL] [Abstract][Full Text] [Related]
20. Predicting Drug-Target Affinity by Learning Protein Knowledge From Biological Networks. Ma W; Zhang S; Li Z; Jiang M; Wang S; Guo N; Li Y; Bi X; Jiang H; Wei Z IEEE J Biomed Health Inform; 2023 Apr; 27(4):2128-2137. PubMed ID: 37018115 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]