Ge W - Search Results

1

Modeling chemical interaction profiles: II. Molecular docking, spectral data-activity relationship, and structure-activity relationship models for potent and weak inhibitors of cytochrome P450 CYP3A4 isozyme.

Tie Y, McPhail B, Hong H, Pearce BA, Schnackenberg LK, Ge W, Buzatu DA, Wilkes JG, Fuscoe JC, Tong W, Fowler BA, Beger RD, Demchuk E. Tie Y, et al. Among authors: ge w. Molecules. 2012 Mar 15;17(3):3407-60. doi: 10.3390/molecules17033407. Molecules. 2012. PMID: 22421793 Free PMC article.

2

Mold(2), molecular descriptors from 2D structures for chemoinformatics and toxicoinformatics.

Hong H, Xie Q, Ge W, Qian F, Fang H, Shi L, Su Z, Perkins R, Tong W. Hong H, et al. Among authors: ge w. J Chem Inf Model. 2008 Jul;48(7):1337-44. doi: 10.1021/ci800038f. Epub 2008 Jun 20. J Chem Inf Model. 2008. PMID: 18564836

3

Assessing batch effects of genotype calling algorithm BRLMM for the Affymetrix GeneChip Human Mapping 500 K array set using 270 HapMap samples.

Hong H, Su Z, Ge W, Shi L, Perkins R, Fang H, Xu J, Chen JJ, Han T, Kaput J, Fuscoe JC, Tong W. Hong H, et al. Among authors: ge w. BMC Bioinformatics. 2008 Aug 12;9 Suppl 9(Suppl 9):S17. doi: 10.1186/1471-2105-9-S9-S17. BMC Bioinformatics. 2008. PMID: 18793462 Free PMC article.

4

Evaluating variations of genotype calling: a potential source of spurious associations in genome-wide association studies.

Hong H, Su Z, Ge W, Shi L, Perkins R, Fang H, Mendrick D, Tong W. Hong H, et al. Among authors: ge w. J Genet. 2010 Apr;89(1):55-64. doi: 10.1007/s12041-010-0011-4. J Genet. 2010. PMID: 20505247 Free article.

5

Modeling chemical interaction profiles: I. Spectral data-activity relationship and structure-activity relationship models for inhibitors and non-inhibitors of cytochrome P450 CYP3A4 and CYP2D6 isozymes.

McPhail B, Tie Y, Hong H, Pearce BA, Schnackenberg LK, Ge W, Valerio LG, Fuscoe JC, Tong W, Buzatu DA, Wilkes JG, Fowler BA, Demchuk E, Beger RD. McPhail B, et al. Among authors: ge w. Molecules. 2012 Mar 15;17(3):3383-406. doi: 10.3390/molecules17033383. Molecules. 2012. PMID: 22421792 Free PMC article.

6

EADB: an estrogenic activity database for assessing potential endocrine activity.

Shen J, Xu L, Fang H, Richard AM, Bray JD, Judson RS, Zhou G, Colatsky TJ, Aungst JL, Teng C, Harris SC, Ge W, Dai SY, Su Z, Jacobs AC, Harrouk W, Perkins R, Tong W, Hong H. Shen J, et al. Among authors: ge w. Toxicol Sci. 2013 Oct;135(2):277-91. doi: 10.1093/toxsci/kft164. Epub 2013 Jul 28. Toxicol Sci. 2013. PMID: 23897986

7

Competitive molecular docking approach for predicting estrogen receptor subtype α agonists and antagonists.

Ng HW, Zhang W, Shu M, Luo H, Ge W, Perkins R, Tong W, Hong H. Ng HW, et al. Among authors: ge w. BMC Bioinformatics. 2014;15 Suppl 11(Suppl 11):S4. doi: 10.1186/1471-2105-15-S11-S4. Epub 2014 Oct 21. BMC Bioinformatics. 2014. PMID: 25349983 Free PMC article.

8

Estrogenic activity data extraction and in silico prediction show the endocrine disruption potential of bisphenol A replacement compounds.

Ng HW, Shu M, Luo H, Ye H, Ge W, Perkins R, Tong W, Hong H. Ng HW, et al. Among authors: ge w. Chem Res Toxicol. 2015 Sep 21;28(9):1784-95. doi: 10.1021/acs.chemrestox.5b00243. Epub 2015 Sep 2. Chem Res Toxicol. 2015. PMID: 26308263

9

Development and Validation of Decision Forest Model for Estrogen Receptor Binding Prediction of Chemicals Using Large Data Sets.

Ng HW, Doughty SW, Luo H, Ye H, Ge W, Tong W, Hong H. Ng HW, et al. Among authors: ge w. Chem Res Toxicol. 2015 Dec 21;28(12):2343-51. doi: 10.1021/acs.chemrestox.5b00358. Epub 2015 Nov 12. Chem Res Toxicol. 2015. PMID: 26524122

10

Applying network analysis and Nebula (neighbor-edges based and unbiased leverage algorithm) to ToxCast data.

Ye H, Luo H, Ng HW, Meehan J, Ge W, Tong W, Hong H. Ye H, et al. Among authors: ge w. Environ Int. 2016 Apr-May;89-90:81-92. doi: 10.1016/j.envint.2016.01.010. Epub 2016 Jan 28. Environ Int. 2016. PMID: 26826365

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