Alexander Sedykh
Alexander Sedykh
Senior Cheminformatics Scientist, Sciome LLC, NC
Verified email at
Cited by
Cited by
Quantitative structure− activity relationship modeling of rat acute toxicity by oral exposure
H Zhu, TM Martin, L Ye, A Sedykh, DM Young, A Tropsha
Chemical research in toxicology 22 (12), 1913-1921, 2009
Predicting drug-induced hepatotoxicity using QSAR and toxicogenomics approaches
Y Low, T Uehara, Y Minowa, H Yamada, Y Ohno, T Urushidani, A Sedykh, ...
Chemical research in toxicology 24 (8), 1251-1262, 2011
Toxicokinetic triage for environmental chemicals
JF Wambaugh, BA Wetmore, R Pearce, C Strope, R Goldsmith, JP Sluka, ...
Toxicological Sciences 147 (1), 55-67, 2015
Big data in chemical toxicity research: the use of high-throughput screening assays to identify potential toxicants
H Zhu, J Zhang, MT Kim, A Boison, A Sedykh, K Moran
Chemical research in toxicology 27 (10), 1643-1651, 2014
Integrative chemical–biological read-across approach for chemical hazard classification
Y Low, A Sedykh, D Fourches, A Golbraikh, M Whelan, I Rusyn, ...
Chemical research in toxicology 26 (8), 1199-1208, 2013
Alarms about structural alerts
VM Alves, EN Muratov, SJ Capuzzi, R Politi, Y Low, RC Braga, ...
Green Chemistry 18 (16), 4348-4360, 2016
An updated review on drug-induced cholestasis: mechanisms and investigation of physicochemical properties and pharmacokinetic parameters
K Yang, K Köck, A Sedykh, A Tropsha, KLR Brouwer
Journal of pharmaceutical sciences 102 (9), 3037-3057, 2013
Use of in Vitro HTS-Derived Concentration–Response Data as Biological Descriptors Improves the Accuracy of QSAR Models of in Vivo Toxicity
A Sedykh, H Zhu, H Tang, L Zhang, A Richard, I Rusyn, A Tropsha
Environmental health perspectives 119 (3), 364-370, 2011
Discovery of novel antimalarial compounds enabled by QSAR-based virtual screening
L Zhang, D Fourches, A Sedykh, H Zhu, A Golbraikh, S Ekins, J Clark, ...
Journal of chemical information and modeling 53 (2), 475-492, 2013
Identification of putative estrogen receptor-mediated endocrine disrupting chemicals using QSAR-and structure-based virtual screening approaches
L Zhang, A Sedykh, A Tripathi, H Zhu, A Afantitis, VD Mouchlis, ...
Toxicology and applied pharmacology 272 (1), 67-76, 2013
Critical evaluation of human oral bioavailability for pharmaceutical drugs by using various cheminformatics approaches
MT Kim, A Sedykh, SK Chakravarti, RD Saiakhov, H Zhu
Pharmaceutical research 31, 1002-1014, 2014
Human Intestinal Transporter Database: QSAR Modeling and Virtual Profiling of Drug Uptake, Efflux and Interactions
A Sedykh, D Fourches, J Duan, O Hucke, M Garneau, H Zhu, P Bonneau, ...
Pharmaceutical research, 1-12, 2012
Construction of a web-based nanomaterial database by big data curation and modeling friendly nanostructure annotations
X Yan, A Sedykh, W Wang, B Yan, H Zhu
Nature communications 11 (1), 2519, 2020
Predicting nano–bio interactions by integrating nanoparticle libraries and quantitative nanostructure activity relationship modeling
W Wang, A Sedykh, H Sun, L Zhao, DP Russo, H Zhou, B Yan, H Zhu
ACS nano 11 (12), 12641-12649, 2017
Developing enhanced blood–brain barrier permeability models: integrating external bio-assay data in QSAR modeling
W Wang, MT Kim, A Sedykh, H Zhu
Pharmaceutical research 32, 3055-3065, 2015
Predictive modeling of chemical hazard by integrating numerical descriptors of chemical structures and short-term toxicity assay data
I Rusyn, A Sedykh, Y Low, KZ Guyton, A Tropsha
Toxicological Sciences 127 (1), 1-9, 2012
Mechanism profiling of hepatotoxicity caused by oxidative stress using antioxidant response element reporter gene assay models and big data
MT Kim, R Huang, A Sedykh, W Wang, M Xia, H Zhu
Environmental health perspectives 124 (5), 634-641, 2016
In silico profiling nanoparticles: predictive nanomodeling using universal nanodescriptors and various machine learning approaches
X Yan, A Sedykh, W Wang, X Zhao, B Yan, H Zhu
Nanoscale 11 (17), 8352-8362, 2019
A data analysis pipeline accounting for artifacts in Tox21 quantitative high-throughput screening assays
JH Hsieh, A Sedykh, R Huang, M Xia, RR Tice
Journal of biomolecular screening 20 (7), 887-897, 2015
Conditional Toxicity Value (CTV) Predictor: An In Silico Approach for Generating Quantitative Risk Estimates for Chemicals
JA Wignall, E Muratov, A Sedykh, KZ Guyton, A Tropsha, I Rusyn, ...
Environmental health perspectives 126 (5), 057008, 2018
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