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For: Sun C, Cao Y, Wei JM, Liu J. Autoencoder-based Drug-Target Interaction Prediction by Preserving the Consistency of Chemical Properties and Functions of Drugs. Bioinformatics 2021;37:3618-3625. [PMID: 34019069 DOI: 10.1093/bioinformatics/btab384] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2020] [Revised: 05/06/2021] [Accepted: 05/18/2021] [Indexed: 11/12/2022]  Open
Number Cited by Other Article(s)
1
Ning Q, Wang Y, Zhao Y, Sun J, Jiang L, Wang K, Yin M. DMHGNN: Double multi-view heterogeneous graph neural network framework for drug-target interaction prediction. Artif Intell Med 2025;159:103023. [PMID: 39579417 DOI: 10.1016/j.artmed.2024.103023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2023] [Revised: 10/09/2024] [Accepted: 11/15/2024] [Indexed: 11/25/2024]
2
Li M, Liu H, Kong F, Lv P. DTRE: A model for predicting drug-target interactions of endometrial cancer based on heterogeneous graph. FUTURE GENERATION COMPUTER SYSTEMS 2024;161:478-486. [DOI: 10.1016/j.future.2024.07.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2025]
3
Li Y, Zhang X, Chen Z, Yang H, Liu Y, Wang H, Yan T, Xiang J, Wang B. Accurate prediction of drug-target interactions in Chinese and western medicine by the CWI-DTI model. Sci Rep 2024;14:25054. [PMID: 39443630 PMCID: PMC11499656 DOI: 10.1038/s41598-024-76367-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2024] [Accepted: 10/14/2024] [Indexed: 10/25/2024]  Open
4
Huang J, Sun C, Li M, Tang R, Xie B, Wang S, Wei JM. Structure-inclusive similarity based directed GNN: a method that can control information flow to predict drug-target binding affinity. Bioinformatics 2024;40:btae563. [PMID: 39292540 PMCID: PMC11474107 DOI: 10.1093/bioinformatics/btae563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Revised: 05/21/2024] [Accepted: 09/17/2024] [Indexed: 09/20/2024]  Open
5
Wu H, Liu J, Zhang R, Lu Y, Cui G, Cui Z, Ding Y. A review of deep learning methods for ligand based drug virtual screening. FUNDAMENTAL RESEARCH 2024;4:715-737. [PMID: 39156568 PMCID: PMC11330120 DOI: 10.1016/j.fmre.2024.02.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 01/10/2024] [Accepted: 02/18/2024] [Indexed: 08/20/2024]  Open
6
Wei J, Lu L, Shen T. Predicting drug-protein interactions by preserving the graph information of multi source data. BMC Bioinformatics 2024;25:10. [PMID: 38177981 PMCID: PMC10768380 DOI: 10.1186/s12859-023-05620-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 12/15/2023] [Indexed: 01/06/2024]  Open
7
Li H, Wang S, Zheng W, Yu L. Multi-dimensional search for drug-target interaction prediction by preserving the consistency of attention distribution. Comput Biol Chem 2023;107:107968. [PMID: 37844375 DOI: 10.1016/j.compbiolchem.2023.107968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Revised: 09/27/2023] [Accepted: 10/05/2023] [Indexed: 10/18/2023]
8
Wang Y, Zhang Z, Piao C, Huang Y, Zhang Y, Zhang C, Lu YJ, Liu D. LDS-CNN: a deep learning framework for drug-target interactions prediction based on large-scale drug screening. Health Inf Sci Syst 2023;11:42. [PMID: 37667773 PMCID: PMC10475000 DOI: 10.1007/s13755-023-00243-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 08/14/2023] [Indexed: 09/06/2023]  Open
9
Su Y, Hu Z, Wang F, Bin Y, Zheng C, Li H, Chen H, Zeng X. AMGDTI: drug-target interaction prediction based on adaptive meta-graph learning in heterogeneous network. Brief Bioinform 2023;25:bbad474. [PMID: 38145949 PMCID: PMC10749791 DOI: 10.1093/bib/bbad474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 11/10/2023] [Accepted: 11/30/2023] [Indexed: 12/27/2023]  Open
10
Tang R, Sun C, Huang J, Li M, Wei J, Liu J. Predicting Drug-Protein Interactions by Self-Adaptively Adjusting the Topological Structure of the Heterogeneous Network. IEEE J Biomed Health Inform 2023;27:5675-5684. [PMID: 37672364 DOI: 10.1109/jbhi.2023.3312374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/08/2023]
11
Zhang Y, Feng Y, Wu M, Deng Z, Wang S. VGAEDTI: drug-target interaction prediction based on variational inference and graph autoencoder. BMC Bioinformatics 2023;24:278. [PMID: 37415176 DOI: 10.1186/s12859-023-05387-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Accepted: 06/16/2023] [Indexed: 07/08/2023]  Open
12
Chen ZH, Zhao BW, Li JQ, Guo ZH, You ZH. GraphCPIs: A novel graph-based computational model for potential compound-protein interactions. MOLECULAR THERAPY. NUCLEIC ACIDS 2023;32:721-728. [PMID: 37251691 PMCID: PMC10209012 DOI: 10.1016/j.omtn.2023.04.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 04/28/2023] [Indexed: 05/31/2023]
13
Abbasi Mesrabadi H, Faez K, Pirgazi J. Drug-target interaction prediction based on protein features, using wrapper feature selection. Sci Rep 2023;13:3594. [PMID: 36869062 PMCID: PMC9984486 DOI: 10.1038/s41598-023-30026-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2022] [Accepted: 02/14/2023] [Indexed: 03/05/2023]  Open
14
Li Y, Sun C, Wei JM, Liu J. Drug-Protein interaction prediction by correcting the effect of incomplete information in heterogeneous information. Bioinformatics 2022;38:5073-5080. [PMID: 36111859 DOI: 10.1093/bioinformatics/btac629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 08/30/2022] [Accepted: 09/15/2022] [Indexed: 12/24/2022]  Open
15
Wang H, Guo F, Du M, Wang G, Cao C. A novel method for drug-target interaction prediction based on graph transformers model. BMC Bioinformatics 2022;23:459. [PMID: 36329406 PMCID: PMC9635108 DOI: 10.1186/s12859-022-04812-w] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 06/23/2022] [Indexed: 11/06/2022]  Open
16
Wan X, Wu X, Wang D, Tan X, Liu X, Fu Z, Jiang H, Zheng M, Li X. An inductive graph neural network model for compound-protein interaction prediction based on a homogeneous graph. Brief Bioinform 2022;23:bbac073. [PMID: 35275993 PMCID: PMC9310259 DOI: 10.1093/bib/bbac073] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 02/09/2022] [Accepted: 02/11/2022] [Indexed: 01/10/2023]  Open
17
Xuan P, Fan M, Cui H, Zhang T, Nakaguchi T. GVDTI: graph convolutional and variational autoencoders with attribute-level attention for drug-protein interaction prediction. Brief Bioinform 2021;23:6412398. [PMID: 34718408 DOI: 10.1093/bib/bbab453] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Revised: 09/14/2021] [Accepted: 10/02/2021] [Indexed: 11/12/2022]  Open
18
Xuan P, Hu K, Cui H, Zhang T, Nakaguchi T. Learning multi-scale heterogeneous representations and global topology for drug-target interaction prediction. IEEE J Biomed Health Inform 2021;26:1891-1902. [PMID: 34673498 DOI: 10.1109/jbhi.2021.3121798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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