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.
173 related articles for article (PubMed ID: 38138496)
1. Fusing Sequence and Structural Knowledge by Heterogeneous Models to Accurately and Interpretively Predict Drug-Target Affinity. Zeng X; Zhong KY; Jiang B; Li Y Molecules; 2023 Dec; 28(24):. PubMed ID: 38138496 [TBL] [Abstract][Full Text] [Related]
2. TC-DTA: Predicting Drug-Target Binding Affinity With Transformer and Convolutional Neural Networks. Tang X; Zhou Y; Yang M; Li W IEEE Trans Nanobioscience; 2024 Oct; 23(4):572-578. PubMed ID: 39133595 [TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. 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]
6. 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]
7. 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]
8. DataDTA: a multi-feature and dual-interaction aggregation framework for drug-target binding affinity prediction. Zhu Y; Zhao L; Wen N; Wang J; Wang C Bioinformatics; 2023 Sep; 39(9):. PubMed ID: 37688568 [TBL] [Abstract][Full Text] [Related]
9. 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]
10. DGDTA: dynamic graph attention network for predicting drug-target binding affinity. Zhai H; Hou H; Luo J; Liu X; Wu Z; Wang J BMC Bioinformatics; 2023 Sep; 24(1):367. PubMed ID: 37777712 [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. MMDTA: A Multimodal Deep Model for Drug-Target Affinity with a Hybrid Fusion Strategy. Zhong KY; Wen ML; Meng FF; Li X; Jiang B; Zeng X; Li Y J Chem Inf Model; 2024 Apr; 64(7):2878-2888. PubMed ID: 37610162 [TBL] [Abstract][Full Text] [Related]
13. Prediction of Drug-Target Affinity Using Attention Neural Network. Tang X; Lei X; Zhang Y Int J Mol Sci; 2024 May; 25(10):. PubMed ID: 38791165 [TBL] [Abstract][Full Text] [Related]
14. 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 Sep; 157():102983. PubMed ID: 39321746 [TBL] [Abstract][Full Text] [Related]
15. Predicting Drug-Target Affinity Based on Recurrent Neural Networks and Graph Convolutional Neural Networks. Tian Q; Ding M; Yang H; Yue C; Zhong Y; Du Z; Liu D; Liu J; Deng Y Comb Chem High Throughput Screen; 2022; 25(4):634-641. PubMed ID: 33588722 [TBL] [Abstract][Full Text] [Related]
17. 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]
18. Modality-DTA: Multimodality Fusion Strategy for Drug-Target Affinity Prediction. Yang X; Niu Z; Liu Y; Song B; Lu W; Zeng L; Zeng X IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(2):1200-1210. PubMed ID: 36083952 [TBL] [Abstract][Full Text] [Related]
19. 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]
20. ColdDTA: Utilizing data augmentation and attention-based feature fusion for drug-target binding affinity prediction. Fang K; Zhang Y; Du S; He J Comput Biol Med; 2023 Sep; 164():107372. PubMed ID: 37597410 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]