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Chemical Research in Toxicology
|
July 16, 2013
Integrative chemical-biological read-across approach for chemical hazard classification
Yen Low, Alexander Sedykh, Denis Fourches, et al.
Environmental Health Perspectives
|
October 29, 2010
Use of in vitro HTS-derived concentration-response data as biological descriptors improves the accuracy of QSAR models of in vivo toxicity
Alexander Sedykh, Hao Zhu, Hao Tang, et al.
Ecotoxicology and Environmental Safety
|
January 24, 2020
Analysis of model PM<sub>2.5</sub>-induced inflammation and cytotoxicity by the combination of a virtual carbon nanoparticle library and computational modeling
Guohong Liu, Xiliang Yan, Alexander Sedykh, et al.
Dalton Transactions (Cambridge, England : 2003)
|
April 2, 2020
Sb- and Bi-based coordination polymers with N-donor ligands with and without lone-pair effects and their photoluminescence properties
Jens R Sorg, Tilman Schneider, Luise Wohlfarth, et al.
Regulatory Toxicology and Pharmacology : RTP
|
February 25, 2020
Development of improved QSAR models for predicting the outcome of the in vivo micronucleus genetic toxicity assay
Jae Wook Yoo, Naomi L Kruhlak, Curran Landry, et al.
Chemical Research in Toxicology
|
October 16, 2020
Harnessing In Silico, In Vitro, and In Vivo Data to Understand the Toxicity Landscape of Polycyclic Aromatic Compounds (PACs)
Jui-Hua Hsieh, Alexander Sedykh, Esra Mutlu, et al.
Chemical Research in Toxicology
|
May 13, 2022
Mixtures-Inclusive <i>In Silico</i> Models of Ocular Toxicity Based on United States and International Hazard Categories
Alexander Sedykh, Neepa Y Choksi, David G Allen, et al.
Pharmaceutical Research
|
December 28, 2012
Human intestinal transporter database: QSAR modeling and virtual profiling of drug uptake, efflux and interactions
Alexander Sedykh, Denis Fourches, Jianmin Duan, et al.
Environmental Health Perspectives
|
May 31, 2018
Conditional Toxicity Value (CTV) Predictor: An <i>In Silico</i> Approach for Generating Quantitative Risk Estimates for Chemicals
Jessica A Wignall, Eugene Muratov, Alexander Sedykh, et al.
Toxicological Sciences : an Official Journal of the Society of Toxicology
|
October 16, 2018
Application of Benchmark Concentration (BMC) Analysis on Zebrafish Data: A New Perspective for Quantifying Toxicity in Alternative Animal Models
Jui-Hua Hsieh, Kristen Ryan, Alexander Sedykh, et al.
Page
of 5
Search research articles
Search
Showing results (21-30 of 50) with videos related to
Sort By:
Page
of 5
Chemical Research in Toxicology
|
July 16, 2013
Integrative chemical-biological read-across approach for chemical hazard classification
Yen Low, Alexander Sedykh, Denis Fourches, et al.
Environmental Health Perspectives
|
October 29, 2010
Use of in vitro HTS-derived concentration-response data as biological descriptors improves the accuracy of QSAR models of in vivo toxicity
Alexander Sedykh, Hao Zhu, Hao Tang, et al.
Ecotoxicology and Environmental Safety
|
January 24, 2020
Analysis of model PM<sub>2.5</sub>-induced inflammation and cytotoxicity by the combination of a virtual carbon nanoparticle library and computational modeling
Guohong Liu, Xiliang Yan, Alexander Sedykh, et al.
Dalton Transactions (Cambridge, England : 2003)
|
April 2, 2020
Sb- and Bi-based coordination polymers with N-donor ligands with and without lone-pair effects and their photoluminescence properties
Jens R Sorg, Tilman Schneider, Luise Wohlfarth, et al.
Regulatory Toxicology and Pharmacology : RTP
|
February 25, 2020
Development of improved QSAR models for predicting the outcome of the in vivo micronucleus genetic toxicity assay
Jae Wook Yoo, Naomi L Kruhlak, Curran Landry, et al.
Chemical Research in Toxicology
|
October 16, 2020
Harnessing In Silico, In Vitro, and In Vivo Data to Understand the Toxicity Landscape of Polycyclic Aromatic Compounds (PACs)
Jui-Hua Hsieh, Alexander Sedykh, Esra Mutlu, et al.
Chemical Research in Toxicology
|
May 13, 2022
Mixtures-Inclusive <i>In Silico</i> Models of Ocular Toxicity Based on United States and International Hazard Categories
Alexander Sedykh, Neepa Y Choksi, David G Allen, et al.
Pharmaceutical Research
|
December 28, 2012
Human intestinal transporter database: QSAR modeling and virtual profiling of drug uptake, efflux and interactions
Alexander Sedykh, Denis Fourches, Jianmin Duan, et al.
Environmental Health Perspectives
|
May 31, 2018
Conditional Toxicity Value (CTV) Predictor: An <i>In Silico</i> Approach for Generating Quantitative Risk Estimates for Chemicals
Jessica A Wignall, Eugene Muratov, Alexander Sedykh, et al.
Toxicological Sciences : an Official Journal of the Society of Toxicology
|
October 16, 2018
Application of Benchmark Concentration (BMC) Analysis on Zebrafish Data: A New Perspective for Quantifying Toxicity in Alternative Animal Models
Jui-Hua Hsieh, Kristen Ryan, Alexander Sedykh, et al.
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