Ma X - Search Results

1

Discovery of indolylpiperazinylpyrimidines with dual-target profiles at adenosine A2A and dopamine D2 receptors for Parkinson's disease treatment.

Shao YM, Ma X, Paira P, Tan A, Herr DR, Lim KL, Ng CH, Venkatesan G, Klotz KN, Federico S, Spalluto G, Cheong SL, Chen YZ, Pastorin G. Shao YM, et al. Among authors: ma x. PLoS One. 2018 Jan 5;13(1):e0188212. doi: 10.1371/journal.pone.0188212. eCollection 2018. PLoS One. 2018. PMID: 29304113 Free PMC article.

2

Pharmacological relationships and ligand discovery of G protein-coupled receptors revealed by simultaneous ligand and receptor clustering.

Zhang C, Shao YM, Ma X, Cheong SL, Qin C, Tao L, Zhang P, Chen S, Zeng X, Liu H, Pastorin G, Jiang Y, Chen YZ. Zhang C, et al. Among authors: ma x. J Mol Graph Model. 2017 Sep;76:136-142. doi: 10.1016/j.jmgm.2017.06.014. Epub 2017 Jul 11. J Mol Graph Model. 2017. PMID: 28728042

3

In-silico approaches to multi-target drug discovery : computer aided multi-target drug design, multi-target virtual screening.

Ma XH, Shi Z, Tan C, Jiang Y, Go ML, Low BC, Chen YZ. Ma XH, et al. Pharm Res. 2010 May;27(5):739-49. doi: 10.1007/s11095-010-0065-2. Epub 2010 Mar 11. Pharm Res. 2010. PMID: 20221898 Review.

4

Effect of training data size and noise level on support vector machines virtual screening of genotoxic compounds from large compound libraries.

Kumar P, Ma X, Liu X, Jia J, Bucong H, Xue Y, Li ZR, Yang SY, Wei YQ, Chen YZ. Kumar P, et al. Among authors: ma x. J Comput Aided Mol Des. 2011 May;25(5):455-67. doi: 10.1007/s10822-011-9431-3. Epub 2011 May 10. J Comput Aided Mol Des. 2011. PMID: 21556903

5

Support vector machines approach for predicting druggable proteins: recent progress in its exploration and investigation of its usefulness.

Han LY, Zheng CJ, Xie B, Jia J, Ma XH, Zhu F, Lin HH, Chen X, Chen YZ. Han LY, et al. Among authors: ma xh. Drug Discov Today. 2007 Apr;12(7-8):304-13. doi: 10.1016/j.drudis.2007.02.015. Epub 2007 Mar 7. Drug Discov Today. 2007. PMID: 17395090 Review.

6

Advances in machine learning prediction of toxicological properties and adverse drug reactions of pharmaceutical agents.

Ma XH, Wang R, Xue Y, Li ZR, Yang SY, Wei YQ, Chen YZ. Ma XH, et al. Curr Drug Saf. 2008 May;3(2):100-14. doi: 10.2174/157488608784529224. Curr Drug Saf. 2008. PMID: 18690988 Review.

7

Drug discovery prospect from untapped species: indications from approved natural product drugs.

Zhu F, Ma XH, Qin C, Tao L, Liu X, Shi Z, Zhang CL, Tan CY, Chen YZ, Jiang YY. Zhu F, et al. Among authors: ma xh. PLoS One. 2012;7(7):e39782. doi: 10.1371/journal.pone.0039782. Epub 2012 Jul 11. PLoS One. 2012. PMID: 22808057 Free PMC article.

8

Pathway sensitivity analysis for detecting pro-proliferation activities of oncogenes and tumor suppressors of epidermal growth factor receptor-extracellular signal-regulated protein kinase pathway at altered protein levels.

Li H, Ung CY, Ma XH, Liu XH, Li BW, Low BC, Chen YZ. Li H, et al. Cancer. 2009 Sep 15;115(18):4246-63. doi: 10.1002/cncr.24485. Cancer. 2009. PMID: 19551902 Free article.

9

Mechanisms of drug combinations: interaction and network perspectives.

Jia J, Zhu F, Ma X, Cao Z, Cao ZW, Li Y, Li YX, Chen YZ. Jia J, et al. Among authors: ma x. Nat Rev Drug Discov. 2009 Feb;8(2):111-28. doi: 10.1038/nrd2683. Nat Rev Drug Discov. 2009. PMID: 19180105 Review.

10

Simulation of the regulation of EGFR endocytosis and EGFR-ERK signaling by endophilin-mediated RhoA-EGFR crosstalk.

Ung CY, Li H, Ma XH, Jia J, Li BW, Low BC, Chen YZ. Ung CY, et al. FEBS Lett. 2008 Jun 25;582(15):2283-90. doi: 10.1016/j.febslet.2008.05.026. Epub 2008 May 27. FEBS Lett. 2008. PMID: 18505685 Free article.

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