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Results: 1 to 20 of 205

Similar articles for PubMed (Select 22387746)

1.

Predictive modeling of chemical hazard by integrating numerical descriptors of chemical structures and short-term toxicity assay data.

Rusyn I, Sedykh A, Low Y, Guyton KZ, Tropsha A.

Toxicol Sci. 2012 May;127(1):1-9. doi: 10.1093/toxsci/kfs095. Epub 2012 Mar 2.

2.

From QSAR to QSIIR: searching for enhanced computational toxicology models.

Zhu H.

Methods Mol Biol. 2013;930:53-65. doi: 10.1007/978-1-62703-059-5_3. Review.

PMID:
23086837
3.

Prediction of rodent carcinogenic potential of naturally occurring chemicals in the human diet using high-throughput QSAR predictive modeling.

Valerio LG Jr, Arvidson KB, Chanderbhan RF, Contrera JF.

Toxicol Appl Pharmacol. 2007 Jul 1;222(1):1-16. Epub 2007 Mar 24.

PMID:
17482223
4.

Use of in vitro HTS-derived concentration-response data as biological descriptors improves the accuracy of QSAR models of in vivo toxicity.

Sedykh A, Zhu H, Tang H, Zhang L, Richard A, Rusyn I, Tropsha A.

Environ Health Perspect. 2011 Mar;119(3):364-70. doi: 10.1289/ehp.1002476. Epub 2010 Oct 27.

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6.

A novel two-step hierarchical quantitative structure-activity relationship modeling work flow for predicting acute toxicity of chemicals in rodents.

Zhu H, Ye L, Richard A, Golbraikh A, Wright FA, Rusyn I, Tropsha A.

Environ Health Perspect. 2009 Aug;117(8):1257-64. doi: 10.1289/ehp.0800471. Epub 2009 Apr 3.

7.

Computational toxicology as implemented by the U.S. EPA: providing high throughput decision support tools for screening and assessing chemical exposure, hazard and risk.

Kavlock R, Dix D.

J Toxicol Environ Health B Crit Rev. 2010 Feb;13(2-4):197-217. doi: 10.1080/10937404.2010.483935.

PMID:
20574897
8.

Predicting drug-induced hepatotoxicity using QSAR and toxicogenomics approaches.

Low Y, Uehara T, Minowa Y, Yamada H, Ohno Y, Urushidani T, Sedykh A, Muratov E, Kuz'min V, Fourches D, Zhu H, Rusyn I, Tropsha A.

Chem Res Toxicol. 2011 Aug 15;24(8):1251-62. doi: 10.1021/tx200148a. Epub 2011 Jul 21.

9.

Comparative analysis of predictive models for nongenotoxic hepatocarcinogenicity using both toxicogenomics and quantitative structure-activity relationships.

Liu Z, Kelly R, Fang H, Ding D, Tong W.

Chem Res Toxicol. 2011 Jul 18;24(7):1062-70. doi: 10.1021/tx2000637. Epub 2011 Jun 20.

PMID:
21627106
10.
11.

A conceptual framework for predicting the toxicity of reactive chemicals: modeling soft electrophilicity.

Schultz TW, Carlson RE, Cronin MT, Hermens JL, Johnson R, O'Brien PJ, Roberts DW, Siraki A, Wallace KB, Veith GD.

SAR QSAR Environ Res. 2006 Aug;17(4):413-28.

PMID:
16920662
12.

Critical assessment of QSAR models of environmental toxicity against Tetrahymena pyriformis: focusing on applicability domain and overfitting by variable selection.

Tetko IV, Sushko I, Pandey AK, Zhu H, Tropsha A, Papa E, Oberg T, Todeschini R, Fourches D, Varnek A.

J Chem Inf Model. 2008 Sep;48(9):1733-46. doi: 10.1021/ci800151m. Epub 2008 Aug 26.

PMID:
18729318
13.

Approaches to developing alternative and predictive toxicology based on PBPK/PD and QSAR modeling.

Yang RS, Thomas RS, Gustafson DL, Campain J, Benjamin SA, Verhaar HJ, Mumtaz MM.

Environ Health Perspect. 1998 Dec;106 Suppl 6:1385-93. Review.

14.

[Perspective of predictive toxicity assessment of in vivo repeated dose toxicity using structural activity relationship].

Ono A.

Kokuritsu Iyakuhin Shokuhin Eisei Kenkyusho Hokoku. 2010;(128):44-9. Review. Japanese.

PMID:
21381395
15.

Promises and pitfalls of quantitative structure-activity relationship approaches for predicting metabolism and toxicity.

Zvinavashe E, Murk AJ, Rietjens IM.

Chem Res Toxicol. 2008 Dec;21(12):2229-36. doi: 10.1021/tx800252e. Review.

PMID:
19548346
16.

Prediction of acute mammalian toxicity from QSARs and interspecies correlations.

Devillers J, Devillers H.

SAR QSAR Environ Res. 2009 Jul;20(5-6):467-500. doi: 10.1080/10629360903278651. Review.

PMID:
19916110
17.

A research to develop a predicting system of mammalian subacute toxicity. I. Prediction of subacute toxicity using the biological parameters of acute toxicities.

Yamaguchi T, Nishimura H, Watanabe T, Saito S, Yabuki M, Shiba K, Isobe N, Kishida F, Kumano M, Shono F, Adachi H, Matsuo M.

Chemosphere. 1996 Mar;32(5):979-98.

PMID:
8867144
18.

Integration of QSAR and in vitro toxicology.

Barratt MD.

Environ Health Perspect. 1998 Apr;106 Suppl 2:459-65.

19.

Testing computational toxicology models with phytochemicals.

Valerio LG Jr, Arvidson KB, Busta E, Minnier BL, Kruhlak NL, Benz RD.

Mol Nutr Food Res. 2010 Feb;54(2):186-94. doi: 10.1002/mnfr.200900259.

PMID:
20024931
20.

Hybrid in silico models for drug-induced liver injury using chemical descriptors and in vitro cell-imaging information.

Zhu XW, Sedykh A, Liu SS.

J Appl Toxicol. 2014 Mar;34(3):281-8. doi: 10.1002/jat.2879. Epub 2013 May 3.

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