161 related articles for article (PubMed ID: 35625468)
1. MSPEDTI: Prediction of Drug-Target Interactions via Molecular Structure with Protein Evolutionary Information.
Wang L; Wong L; Chen ZH; Hu J; Sun XF; Li Y; You ZH
Biology (Basel); 2022 May; 11(5):. PubMed ID: 35625468
[TBL] [Abstract][Full Text] [Related]
2. A Computational-Based Method for Predicting Drug-Target Interactions by Using Stacked Autoencoder Deep Neural Network.
Wang L; You ZH; Chen X; Xia SX; Liu F; Yan X; Zhou Y; Song KJ
J Comput Biol; 2018 Mar; 25(3):361-373. PubMed ID: 28891684
[TBL] [Abstract][Full Text] [Related]
3. An efficient computational method for predicting drug-target interactions using weighted extreme learning machine and speed up robot features.
An JY; Meng FR; Yan ZJ
BioData Min; 2021 Jan; 14(1):3. PubMed ID: 33472664
[TBL] [Abstract][Full Text] [Related]
4. Incorporating chemical sub-structures and protein evolutionary information for inferring drug-target interactions.
Wang L; You ZH; Li LP; Yan X; Zhang W
Sci Rep; 2020 Apr; 10(1):6641. PubMed ID: 32313024
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. DeepStack-DTIs: Predicting Drug-Target Interactions Using LightGBM Feature Selection and Deep-Stacked Ensemble Classifier.
Zhang Y; Jiang Z; Chen C; Wei Q; Gu H; Yu B
Interdiscip Sci; 2022 Jun; 14(2):311-330. PubMed ID: 34731411
[TBL] [Abstract][Full Text] [Related]
8. DNN-DTIs: Improved drug-target interactions prediction using XGBoost feature selection and deep neural network.
Chen C; Shi H; Jiang Z; Salhi A; Chen R; Cui X; Yu B
Comput Biol Med; 2021 Sep; 136():104676. PubMed ID: 34375902
[TBL] [Abstract][Full Text] [Related]
9. Efficient machine learning model for predicting drug-target interactions with case study for Covid-19.
El-Behery H; Attia AF; El-Feshawy N; Torkey H
Comput Biol Chem; 2021 Aug; 93():107536. PubMed ID: 34271420
[TBL] [Abstract][Full Text] [Related]
10. The Discovery of New Drug-Target Interactions for Breast Cancer Treatment.
Song J; Xu Z; Cao L; Wang M; Hou Y; Li K
Molecules; 2021 Dec; 26(24):. PubMed ID: 34946556
[TBL] [Abstract][Full Text] [Related]
11. Deep Learning in Drug Target Interaction Prediction: Current and Future Perspectives.
Abbasi K; Razzaghi P; Poso A; Ghanbari-Ara S; Masoudi-Nejad A
Curr Med Chem; 2021; 28(11):2100-2113. PubMed ID: 32895036
[TBL] [Abstract][Full Text] [Related]
12. Multiview network embedding for drug-target Interactions prediction by consistent and complementary information preserving.
Shang Y; Ye X; Futamura Y; Yu L; Sakurai T
Brief Bioinform; 2022 May; 23(3):. PubMed ID: 35262678
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
15. 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]
16. Identification of potential drug-targets by combining evolutionary information extracted from frequency profiles and molecular topological structures.
Wang L; You ZH; Li LP; Yan X; Zhang W; Song KJ; Song CD
Chem Biol Drug Des; 2020 Aug; 96(2):758-767. PubMed ID: 31393672
[TBL] [Abstract][Full Text] [Related]
17. DTI-BERT: Identifying Drug-Target Interactions in Cellular Networking Based on BERT and Deep Learning Method.
Zheng J; Xiao X; Qiu WR
Front Genet; 2022; 13():859188. PubMed ID: 35754843
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Prediction of drug-target interactions via neural tangent kernel extraction feature matrix factorization model.
Wang Y; Zhang Y; Wang J; Xie F; Zheng D; Zou X; Guo M; Ding Y; Wan J; Han K
Comput Biol Med; 2023 Jun; 159():106955. PubMed ID: 37094465
[TBL] [Abstract][Full Text] [Related]
20. Prediction of Drug-Target Interactions by Combining Dual-Tree Complex Wavelet Transform with Ensemble Learning Method.
Pan J; Li LP; You ZH; Yu CQ; Ren ZH; Chen Y
Molecules; 2021 Sep; 26(17):. PubMed ID: 34500792
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]