Tang Y - Search Results

1

Pharmacophore modeling and 3D-QSAR study for the design of novel α-synuclein aggregation inhibitors.

Yang J, Hu J, Zhang G, Qin L, Wen H, Tang Y. Yang J, et al. Among authors: tang y. J Mol Model. 2021 Aug 25;27(9):260. doi: 10.1007/s00894-021-04881-3. J Mol Model. 2021. PMID: 34432157

2

Computational insights into the binding modes of Sr-Rex with cofactor NADH/NAD+ and operator DNA.

Chu Y, Li W, Wang J, Liu G, Tang Y. Chu Y, et al. Among authors: tang y. J Mol Model. 2013 Aug;19(8):3143-51. doi: 10.1007/s00894-013-1848-2. Epub 2013 Apr 25. J Mol Model. 2013. PMID: 23615679

3

Structure-based ensemble-QSAR model: a novel approach to the study of the EGFR tyrosine kinase and its inhibitors.

Sun XQ, Chen L, Li YZ, Li WH, Liu GX, Tu YQ, Tang Y. Sun XQ, et al. Among authors: tang y. Acta Pharmacol Sin. 2014 Feb;35(2):301-10. doi: 10.1038/aps.2013.148. Epub 2013 Dec 16. Acta Pharmacol Sin. 2014. PMID: 24335842 Free PMC article.

4

Discovery of new non-steroidal farnesoid X receptor modulators through 3D shape similarity search and structure-based virtual screening.

Wang L, Si P, Sheng Y, Chen Y, Wan P, Shen X, Tang Y, Chen L, Li W. Wang L, et al. Among authors: tang y. Chem Biol Drug Des. 2015 Apr;85(4):481-7. doi: 10.1111/cbdd.12432. Epub 2014 Oct 10. Chem Biol Drug Des. 2015. PMID: 25228339

5

Computational Insights into Ligand Selectivity of Estrogen Receptors from Pharmacophore Modeling.

Fang J, Shen J, Cheng F, Xu Z, Liu G, Tang Y. Fang J, et al. Among authors: tang y. Mol Inform. 2011 Jun;30(6-7):539-49. doi: 10.1002/minf.201000170. Epub 2011 May 23. Mol Inform. 2011. PMID: 27467155

6

Computational Investigation of Ligand Binding to the Peripheral Site in CYP3A4: Conformational Dynamics and Inhibitor Discovery.

Du H, Li J, Cai Y, Zhang H, Liu G, Tang Y, Li W. Du H, et al. Among authors: tang y. J Chem Inf Model. 2017 Mar 27;57(3):616-626. doi: 10.1021/acs.jcim.7b00012. Epub 2017 Mar 2. J Chem Inf Model. 2017. PMID: 28221037

7

ADMETopt: A Web Server for ADMET Optimization in Drug Design via Scaffold Hopping.

Yang H, Sun L, Wang Z, Li W, Liu G, Tang Y. Yang H, et al. Among authors: tang y. J Chem Inf Model. 2018 Oct 22;58(10):2051-2056. doi: 10.1021/acs.jcim.8b00532. Epub 2018 Oct 9. J Chem Inf Model. 2018. PMID: 30251842

8

Development of Novel N-hydroxypyridone Derivatives as Potential Anti-Ischemic Stroke Agents.

Hu L, Feng H, Zhang H, Yu S, Zhao Q, Wang W, Bao F, Ding X, Hu J, Wang M, Xu Y, Wu Z, Li X, Tang Y, Mao F, Chen X, Zhang H, Li J. Hu L, et al. Among authors: tang y. J Med Chem. 2020 Feb 13;63(3):1051-1067. doi: 10.1021/acs.jmedchem.9b01338. Epub 2020 Jan 22. J Med Chem. 2020. PMID: 31910018

9

In Silico Prediction of Metabolic Epoxidation for Drug-like Molecules via Machine Learning Methods.

Hu J, Cai Y, Li W, Liu G, Tang Y. Hu J, et al. Among authors: tang y. Mol Inform. 2020 Aug;39(8):e1900178. doi: 10.1002/minf.201900178. Epub 2020 Mar 31. Mol Inform. 2020. PMID: 32162831

10

Computational Insights into Molecular Activation and Positive Cooperative Mechanisms of FFAR1 Modulators.

Teng D, Chen J, Li D, Wu Z, Li W, Tang Y, Liu G. Teng D, et al. Among authors: tang y. J Chem Inf Model. 2020 Jun 22;60(6):3214-3230. doi: 10.1021/acs.jcim.0c00030. Epub 2020 May 8. J Chem Inf Model. 2020. PMID: 32338509

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