483 related articles for article (PubMed ID: 27829343)
1. Predicting Drug-Target Interactions Based on Small Positive Samples.
Hu P; Chan KCC; Hu Y
Curr Protein Pept Sci; 2018; 19(5):479-487. PubMed ID: 27829343
[TBL] [Abstract][Full Text] [Related]
2. Inferring Interactions between Novel Drugs and Novel Targets via Instance-Neighborhood-Based Models.
Shi JY; Li JX; Chen BL; Zhang Y
Curr Protein Pept Sci; 2018; 19(5):488-497. PubMed ID: 27829347
[TBL] [Abstract][Full Text] [Related]
3. A Systematic Prediction of Drug-Target Interactions Using Molecular Fingerprints and Protein Sequences.
Huang YA; You ZH; Chen X
Curr Protein Pept Sci; 2018; 19(5):468-478. PubMed ID: 27875970
[TBL] [Abstract][Full Text] [Related]
4. Predicting drug-target interaction network using deep learning model.
You J; McLeod RD; Hu P
Comput Biol Chem; 2019 Jun; 80():90-101. PubMed ID: 30939415
[TBL] [Abstract][Full Text] [Related]
5. Identifying Drug-Target Interactions with Decision Templates.
Yan XY; Zhang SW
Curr Protein Pept Sci; 2018; 19(5):498-506. PubMed ID: 27829344
[TBL] [Abstract][Full Text] [Related]
6. Predicting Drug-Target Interactions Over Heterogeneous Information Network.
Su X; Hu P; Yi H; You Z; Hu L
IEEE J Biomed Health Inform; 2023 Jan; 27(1):562-572. PubMed ID: 36327172
[TBL] [Abstract][Full Text] [Related]
7. Predicting Drug-Target Interactions with Neighbor Interaction Information and Discriminative Low-rank Representation.
Peng L; Liao B; Zhu W; Li Z
Curr Protein Pept Sci; 2018; 19(5):455-467. PubMed ID: 27829345
[TBL] [Abstract][Full Text] [Related]
8. Predicting drug-target interactions using restricted Boltzmann machines.
Wang Y; Zeng J
Bioinformatics; 2013 Jul; 29(13):i126-34. PubMed ID: 23812976
[TBL] [Abstract][Full Text] [Related]
9. A Machine Learning Approach for Drug-target Interaction Prediction using Wrapper Feature Selection and Class Balancing.
Redkar S; Mondal S; Joseph A; Hareesha KS
Mol Inform; 2020 May; 39(5):e1900062. PubMed ID: 32003548
[TBL] [Abstract][Full Text] [Related]
10. In silico prediction of drug-target interaction networks based on drug chemical structure and protein sequences.
Li Z; Han P; You ZH; Li X; Zhang Y; Yu H; Nie R; Chen X
Sci Rep; 2017 Sep; 7(1):11174. PubMed ID: 28894115
[TBL] [Abstract][Full Text] [Related]
11. Graph regularized non-negative matrix factorization with prior knowledge consistency constraint for drug-target interactions prediction.
Zhang J; Xie M
BMC Bioinformatics; 2022 Dec; 23(1):564. PubMed ID: 36581822
[TBL] [Abstract][Full Text] [Related]
12. DeepACTION: A deep learning-based method for predicting novel drug-target interactions.
Hasan Mahmud SM; Chen W; Jahan H; Dai B; Din SU; Dzisoo AM
Anal Biochem; 2020 Dec; 610():113978. PubMed ID: 33035462
[TBL] [Abstract][Full Text] [Related]
13. Prediction of drug-target interaction based on protein features using undersampling and feature selection techniques with boosting.
Mahmud SMH; Chen W; Meng H; Jahan H; Liu Y; Hasan SMM
Anal Biochem; 2020 Jan; 589():113507. PubMed ID: 31734254
[TBL] [Abstract][Full Text] [Related]
14. DTI-MLCD: predicting drug-target interactions using multi-label learning with community detection method.
Chu Y; Shan X; Chen T; Jiang M; Wang Y; Wang Q; Salahub DR; Xiong Y; Wei DQ
Brief Bioinform; 2021 May; 22(3):. PubMed ID: 32964234
[TBL] [Abstract][Full Text] [Related]
15. Computational Prediction of DrugTarget Interactions Using Chemical, Biological, and Network Features.
Cao DS; Zhang LX; Tan GS; Xiang Z; Zeng WB; Xu QS; Chen AF
Mol Inform; 2014 Oct; 33(10):669-81. PubMed ID: 27485302
[TBL] [Abstract][Full Text] [Related]
16. DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences.
Lee I; Keum J; Nam H
PLoS Comput Biol; 2019 Jun; 15(6):e1007129. PubMed ID: 31199797
[TBL] [Abstract][Full Text] [Related]
17. Deep-Learning-Based Drug-Target Interaction Prediction.
Wen M; Zhang Z; Niu S; Sha H; Yang R; Yun Y; Lu H
J Proteome Res; 2017 Apr; 16(4):1401-1409. PubMed ID: 28264154
[TBL] [Abstract][Full Text] [Related]
18. An end-to-end heterogeneous graph representation learning-based framework for drug-target interaction prediction.
Peng J; Wang Y; Guan J; Li J; Han R; Hao J; Wei Z; Shang X
Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33517357
[TBL] [Abstract][Full Text] [Related]
19. PreDTIs: prediction of drug-target interactions based on multiple feature information using gradient boosting framework with data balancing and feature selection techniques.
Mahmud SMH; Chen W; Liu Y; Awal MA; Ahmed K; Rahman MH; Moni MA
Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33709119
[TBL] [Abstract][Full Text] [Related]
20. PPDTS: Predicting potential drug-target interactions based on network similarity.
Wang W; Wang Y; Zhang Y; Liu D; Zhang H; Wang X
IET Syst Biol; 2022 Feb; 16(1):18-27. PubMed ID: 34783172
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]