220 related articles for article (PubMed ID: 24297542)
1. Drug-target interaction prediction by integrating chemical, genomic, functional and pharmacological data.
Yang F; Xu J; Zeng J
Pac Symp Biocomput; 2014; ():148-59. PubMed ID: 24297542
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Prediction of polypharmacological profiles of drugs by the integration of chemical, side effect, and therapeutic space.
Cheng F; Li W; Wu Z; Wang X; Zhang C; Li J; Liu G; Tang Y
J Chem Inf Model; 2013 Apr; 53(4):753-62. PubMed ID: 23527559
[TBL] [Abstract][Full Text] [Related]
4. Link prediction in drug-target interactions network using similarity indices.
Lu Y; Guo Y; Korhonen A
BMC Bioinformatics; 2017 Jan; 18(1):39. PubMed ID: 28095781
[TBL] [Abstract][Full Text] [Related]
5. DTI-HETA: prediction of drug-target interactions based on GCN and GAT on heterogeneous graph.
Shao K; Zhang Y; Wen Y; Zhang Z; He S; Bo X
Brief Bioinform; 2022 May; 23(3):. PubMed ID: 35380622
[TBL] [Abstract][Full Text] [Related]
6. Novel drug-target interactions via link prediction and network embedding.
Amiri Souri E; Laddach R; Karagiannis SN; Papageorgiou LG; Tsoka S
BMC Bioinformatics; 2022 Apr; 23(1):121. PubMed ID: 35379165
[TBL] [Abstract][Full Text] [Related]
7. Prediction of off-target drug effects through data fusion.
Yera ER; Cleves AE; Jain AN
Pac Symp Biocomput; 2014; 19():160-71. PubMed ID: 24297543
[TBL] [Abstract][Full Text] [Related]
8. SDTNBI: an integrated network and chemoinformatics tool for systematic prediction of drug-target interactions and drug repositioning.
Wu Z; Cheng F; Li J; Li W; Liu G; Tang Y
Brief Bioinform; 2017 Mar; 18(2):333-347. PubMed ID: 26944082
[TBL] [Abstract][Full Text] [Related]
9. In silico drug repositioning based on the integration of chemical, genomic and pharmacological spaces.
Chen H; Zhang Z; Zhang J
BMC Bioinformatics; 2021 Feb; 22(1):52. PubMed ID: 33557749
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Drug-target interactions prediction using marginalized denoising model on heterogeneous networks.
Tang C; Zhong C; Chen D; Wang J
BMC Bioinformatics; 2020 Jul; 21(1):330. PubMed ID: 32703151
[TBL] [Abstract][Full Text] [Related]
12. Graph-DTI: A New Model for Drug-Target Interaction Prediction Based on Heterogenous Network Graph Embedding.
Qu X; Du G; Hu J; Cai Y
Curr Comput Aided Drug Des; 2023 Jul; ():. PubMed ID: 37448360
[TBL] [Abstract][Full Text] [Related]
13. MultiDTI: drug-target interaction prediction based on multi-modal representation learning to bridge the gap between new chemical entities and known heterogeneous network.
Zhou D; Xu Z; Li W; Xie X; Peng S
Bioinformatics; 2021 Dec; 37(23):4485-4492. PubMed ID: 34180970
[TBL] [Abstract][Full Text] [Related]
14. Prediction of drug-target interactions for drug repositioning only based on genomic expression similarity.
Wang K; Sun J; Zhou S; Wan C; Qin S; Li C; He L; Yang L
PLoS Comput Biol; 2013; 9(11):e1003315. PubMed ID: 24244130
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. BE-DTI': Ensemble framework for drug target interaction prediction using dimensionality reduction and active learning.
Sharma A; Rani R
Comput Methods Programs Biomed; 2018 Oct; 165():151-162. PubMed ID: 30337070
[TBL] [Abstract][Full Text] [Related]
17. Computational Discovery of Putative Leads for Drug Repositioning through Drug-Target Interaction Prediction.
Coelho ED; Arrais JP; Oliveira JL
PLoS Comput Biol; 2016 Nov; 12(11):e1005219. PubMed ID: 27893735
[TBL] [Abstract][Full Text] [Related]
18. Open-source chemogenomic data-driven algorithms for predicting drug-target interactions.
Hao M; Bryant SH; Wang Y
Brief Bioinform; 2019 Jul; 20(4):1465-1474. PubMed ID: 29420684
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. NeoDTI: neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions.
Wan F; Hong L; Xiao A; Jiang T; Zeng J
Bioinformatics; 2019 Jan; 35(1):104-111. PubMed ID: 30561548
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]