168 related articles for article (PubMed ID: 33553921)
1. A Machine Learning-Based Biological Drug-Target Interaction Prediction Method for a Tripartite Heterogeneous Network.
Zheng Y; Wu Z
ACS Omega; 2021 Feb; 6(4):3037-3045. PubMed ID: 33553921
[TBL] [Abstract][Full Text] [Related]
2. A Drug-Target Network-Based Supervised Machine Learning Repurposing Method Allowing the Use of Multiple Heterogeneous Information Sources.
Nascimento ACA; Prudêncio RBC; Costa IG
Methods Mol Biol; 2019; 1903():281-289. PubMed ID: 30547449
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Gaussian interaction profile kernels for predicting drug-target interaction.
van Laarhoven T; Nabuurs SB; Marchiori E
Bioinformatics; 2011 Nov; 27(21):3036-43. PubMed ID: 21893517
[TBL] [Abstract][Full Text] [Related]
5. Cascade Deep Forest With Heterogeneous Similarity Measures for Drug-Target Interaction Prediction.
Zheng Y; Wu Z
Front Genet; 2021; 12():702259. PubMed ID: 34504515
[TBL] [Abstract][Full Text] [Related]
6. DTiGNN: Learning drug-target embedding from a heterogeneous biological network based on a two-level attention-based graph neural network.
Muniyappan S; Rayan AXA; Varrieth GT
Math Biosci Eng; 2023 Mar; 20(5):9530-9571. PubMed ID: 37161255
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Prediction of drug-target interaction by integrating diverse heterogeneous information source with multiple kernel learning and clustering methods.
Yan XY; Zhang SW; He CR
Comput Biol Chem; 2019 Feb; 78():460-467. PubMed ID: 30528728
[TBL] [Abstract][Full Text] [Related]
9. The Computational Models of Drug-target Interaction Prediction.
Ding Y; Tang J; Guo F
Protein Pept Lett; 2020; 27(5):348-358. PubMed ID: 30968771
[TBL] [Abstract][Full Text] [Related]
10. REDDA: Integrating multiple biological relations to heterogeneous graph neural network for drug-disease association prediction.
Gu Y; Zheng S; Yin Q; Jiang R; Li J
Comput Biol Med; 2022 Nov; 150():106127. PubMed ID: 36182762
[TBL] [Abstract][Full Text] [Related]
11. Identification of Drug-Side Effect Association via Semisupervised Model and Multiple Kernel Learning.
Ding Y; Tang J; Guo F
IEEE J Biomed Health Inform; 2019 Nov; 23(6):2619-2632. PubMed ID: 30507518
[TBL] [Abstract][Full Text] [Related]
12. Integrating Biological Networks for Drug Target Prediction and Prioritization.
Ji X; Freudenberg JM; Agarwal P
Methods Mol Biol; 2019; 1903():203-218. PubMed ID: 30547444
[TBL] [Abstract][Full Text] [Related]
13. Tripartite Network-Based Repurposing Method Using Deep Learning to Compute Similarities for Drug-Target Prediction.
Zong N; Wong RSN; Ngo V
Methods Mol Biol; 2019; 1903():317-328. PubMed ID: 30547451
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. SMGCN: Multiple Similarity and Multiple Kernel Fusion Based Graph Convolutional Neural Network for Drug-Target Interactions Prediction.
Wang W; Yu M; Sun B; Li J; Liu D; Zhang H; Wang X; Zhou Y
IEEE/ACM Trans Comput Biol Bioinform; 2024; 21(1):143-154. PubMed ID: 38051618
[TBL] [Abstract][Full Text] [Related]
16. Prediction of drug-target interaction by label propagation with mutual interaction information derived from heterogeneous network.
Yan XY; Zhang SW; Zhang SY
Mol Biosyst; 2016 Feb; 12(2):520-31. PubMed ID: 26675534
[TBL] [Abstract][Full Text] [Related]
17. A Biological Feature and Heterogeneous Network Representation Learning-Based Framework for Drug-Target Interaction Prediction.
Liu L; Zhang Q; Wei Y; Zhao Q; Liao B
Molecules; 2023 Sep; 28(18):. PubMed ID: 37764321
[TBL] [Abstract][Full Text] [Related]
18. DTI-HeNE: a novel method for drug-target interaction prediction based on heterogeneous network embedding.
Yue Y; He S
BMC Bioinformatics; 2021 Sep; 22(1):418. PubMed ID: 34479477
[TBL] [Abstract][Full Text] [Related]
19. Biomedical data and computational models for drug repositioning: a comprehensive review.
Luo H; Li M; Yang M; Wu FX; Li Y; Wang J
Brief Bioinform; 2021 Mar; 22(2):1604-1619. PubMed ID: 32043521
[TBL] [Abstract][Full Text] [Related]
20. Identifying potential association on gene-disease network via dual hypergraph regularized least squares.
Yang H; Ding Y; Tang J; Guo F
BMC Genomics; 2021 Aug; 22(1):605. PubMed ID: 34372777
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
