| 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 | 286 | 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 | 235 | 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 | 177 | 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 | 158 | 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 | 145 | 2013 |
| Alarms about structural alerts VM Alves, EN Muratov, SJ Capuzzi, R Politi, Y Low, RC Braga, ... Green Chemistry 18 (16), 4348-4360, 2016 | 137 | 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 | 132 | 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 | 130 | 2011 |
| 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 | 116 | 2014 |
| 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 | 110 | 2013 |
| 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 | 105 | 2020 |
| 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 | 103 | 2013 |
| 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 | 96 | 2012 |
| 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 | 95 | 2017 |
| 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 | 89 | 2012 |
| 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 | 87 | 2015 |
| 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 | 75 | 2019 |
| 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 | 73 | 2016 |
| 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 | 72 | 2018 |
| 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 | 69 | 2015 |
