Grantee Research Project Results
Journal Publications Details for Grant Number R834999
Predictive QSAR Models of Hepatotoxicity
RFA:
Computational Toxicology: Biologically-Based Multi-Scale Modeling (2010)
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| Reference Type | Citation | Progress Report Year | Document Sources |
|---|---|---|---|
| Journal Article | Low YS, Sedykh AY, Rusyn I, Tropsha A. Integrative approaches for predicting in vivo effects of chemicals from their structural descriptors and the results of short-term biological assays. Current Topics in Medicinal Chemistry 2014;14(11):1356-1364. |
R832720 (2009) R833825 (Final) R834999 (Final) R835166 (2014) R835166 (2016) R835166 (Final) |
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| Journal Article | 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. Predicting drug-induced hepatotoxicity using QSAR and toxicogenomics approaches. Chemical Research in Toxicology 2011;24(8):1251-1262. |
R833825 (Final) R834999 (Final) |
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| Journal Article | Low Y, Sedykh A, Fourches D, Golbraikh A, Whelan M, Rusyn I, Tropsha A. Integrative chemical-biological read-across approach for chemical hazard classification. Chemical Research in Toxicology 2013;26(8):1199-1208. |
R834999 (Final) R835166 (2013) R835166 (2016) R835166 (Final) |
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| Journal Article | Low YS, Caster O, Bergvall T, Fourches D, Zang X, Norén GN, Rusyn I, Edwards R, Tropsha A. Cheminformatics-aided pharmacovigilance:application to Stevens-Johnson Syndrome. Journal of the American Medical Informatics Association 2016;23(5):968-978. |
R834999 (Final) |
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