Zhou W - Search Results

1

Discovery of Novel Androgen Receptor Ligands by Structure-based Virtual Screening and Bioassays.

Zhou W, Duan M, Fu W, Pang J, Tang Q, Sun H, Xu L, Chang S, Li D, Hou T. Zhou W, et al. Genomics Proteomics Bioinformatics. 2018 Dec;16(6):416-427. doi: 10.1016/j.gpb.2018.03.007. Epub 2019 Jan 9. Genomics Proteomics Bioinformatics. 2018. PMID: 30639122 Free PMC article.

2

Identification and Preliminary SAR Analysis of Novel Type-I Inhibitors of TIE-2 via Structure-Based Virtual Screening and Biological Evaluation in in vitro Models.

Pan P, Tian S, Sun H, Kong X, Zhou W, Li D, Li Y, Hou T. Pan P, et al. Among authors: zhou w. J Chem Inf Model. 2015 Dec 28;55(12):2693-704. doi: 10.1021/acs.jcim.5b00576. Epub 2015 Dec 15. J Chem Inf Model. 2015. PMID: 26618892

3

Structural Diversity of Ligand-Binding Androgen Receptors Revealed by Microsecond Long Molecular Dynamics Simulations and Enhanced Sampling.

Duan M, Liu N, Zhou W, Li D, Yang M, Hou T. Duan M, et al. Among authors: zhou w. J Chem Theory Comput. 2016 Sep 13;12(9):4611-9. doi: 10.1021/acs.jctc.6b00424. Epub 2016 Sep 1. J Chem Theory Comput. 2016. PMID: 27560203

4

In Silico Exploration for Novel Type-I Inhibitors of Tie-2/TEK: The Performance of Different Selection Strategy in Selecting Virtual Screening Candidates.

Pan P, Sun H, Liu H, Li D, Zhou W, Kong X, Li Y, Yu H, Hou T. Pan P, et al. Among authors: zhou w. Sci Rep. 2016 Nov 23;6:37628. doi: 10.1038/srep37628. Sci Rep. 2016. PMID: 27876862 Free PMC article.

5

ADMET Evaluation in Drug Discovery. 18. Reliable Prediction of Chemical-Induced Urinary Tract Toxicity by Boosting Machine Learning Approaches.

Lei T, Sun H, Kang Y, Zhu F, Liu H, Zhou W, Wang Z, Li D, Li Y, Hou T. Lei T, et al. Among authors: zhou w. Mol Pharm. 2017 Nov 6;14(11):3935-3953. doi: 10.1021/acs.molpharmaceut.7b00631. Epub 2017 Oct 27. Mol Pharm. 2017. PMID: 29037046

6

Combating Drug-Resistant Mutants of Anaplastic Lymphoma Kinase with Potent and Selective Type-I^1/2 Inhibitors by Stabilizing Unique DFG-Shifted Loop Conformation.

Pan P, Yu H, Liu Q, Kong X, Chen H, Chen J, Liu Q, Li D, Kang Y, Sun H, Zhou W, Tian S, Cui S, Zhu F, Li Y, Huang Y, Hou T. Pan P, et al. Among authors: zhou w. ACS Cent Sci. 2017 Nov 22;3(11):1208-1220. doi: 10.1021/acscentsci.7b00419. Epub 2017 Nov 3. ACS Cent Sci. 2017. PMID: 29202023 Free PMC article.

7

Importance of protein flexibility on molecular recognition: modeling binding mechanisms of aminopyrazine inhibitors to Nek2.

Tang X , Wang Z , Lei T , Zhou W , Chang S , Li D . Tang X , et al. Among authors: zhou w. Phys Chem Chem Phys. 2018 Feb 21;20(8):5591-5605. doi: 10.1039/c7cp07588j. Phys Chem Chem Phys. 2018. PMID: 29270587

8

Molecular Dynamics Simulations Revealed the Regulation of Ligands to the Interactions between Androgen Receptor and Its Coactivator.

Liu N, Zhou W, Guo Y, Wang J, Fu W, Sun H, Li D, Duan M, Hou T. Liu N, et al. Among authors: zhou w. J Chem Inf Model. 2018 Aug 27;58(8):1652-1661. doi: 10.1021/acs.jcim.8b00283. Epub 2018 Jul 20. J Chem Inf Model. 2018. PMID: 29993249 Free PMC article.

9

A magic drug target: Androgen receptor.

Li D, Zhou W, Pang J, Tang Q, Zhong B, Shen C, Xiao L, Hou T. Li D, et al. Among authors: zhou w. Med Res Rev. 2019 Sep;39(5):1485-1514. doi: 10.1002/med.21558. Epub 2018 Dec 19. Med Res Rev. 2019. PMID: 30569509 Review.

10

Communication between the Ligand-Binding Pocket and the Activation Function-2 Domain of Androgen Receptor Revealed by Molecular Dynamics Simulations.

Jin Y, Duan M, Wang X, Kong X, Zhou W, Sun H, Liu H, Li D, Yu H, Li Y, Hou T. Jin Y, et al. Among authors: zhou w. J Chem Inf Model. 2019 Feb 25;59(2):842-857. doi: 10.1021/acs.jcim.8b00796. Epub 2019 Feb 6. J Chem Inf Model. 2019. PMID: 30658039

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