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Alla P Toropova

Showing results (21-30 of 161) with videos related to

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Molecular Diversity|October 12, 2018
Quasi-SMILES: quantitative structure-activity relationships to predict anticancer activityAlla P Toropova, Andrey A Toropov
Toxicology Mechanisms and Methods|August 2, 2018
Use of the index of ideality of correlation to improve predictive potential for biochemical endpointsAndrey A Toropov, Alla P Toropova
Mini Reviews in Medicinal Chemistry|October 4, 2017
CORAL: Monte Carlo Method to Predict Endpoints for Medical ChemistryAlla P Toropova, Andrey A Toropov
European Journal of Pharmaceutical Sciences : Official Journal of the European Federation for Pharmaceutical Sciences|February 12, 2014
CORAL software: prediction of carcinogenicity of drugs by means of the Monte Carlo methodAlla P Toropova, Andrey A Toropov
Environmental Science and Pollution Research International|September 27, 2018
Use of the index of ideality of correlation to improve models of eco-toxicityAlla P Toropova, Andrey A Toropov
Chemosphere|October 29, 2013
Optimal descriptor as a translator of eclectic information into the prediction of membrane damage by means of various TiO(2) nanoparticlesAlla P Toropova, Andrey A Toropov
Current Drug Metabolism|February 23, 2018
Editorial; Impact of Drug Metabolism and its Relevance upon Drug DiscoveryAlla P Toropova, Andrey A Toropov
Anticancer Research|November 7, 2018
Predicting Cytotoxicity of 2-Phenylindole Derivatives Against Breast Cancer Cells Using Index of Ideality of CorrelationAndrey A Toropov, Alla P Toropova
Journal of Theoretical Biology|January 15, 2017
Nano-QSAR in cell biology: Model of cell viability as a mathematical function of available eclectic dataAlla P Toropova, Andrey A Toropov
Chemosphere|June 1, 2015
Quasi-SMILES and nano-QFAR: united model for mutagenicity of fullerene and MWCNT under different conditionsAndrey A Toropov, Alla P Toropova
Pageof 17

Showing results (21-30 of 161) with videos related to

Sort By:
Pageof 17
Molecular Diversity|October 12, 2018
Quasi-SMILES: quantitative structure-activity relationships to predict anticancer activityAlla P Toropova, Andrey A Toropov
Toxicology Mechanisms and Methods|August 2, 2018
Use of the index of ideality of correlation to improve predictive potential for biochemical endpointsAndrey A Toropov, Alla P Toropova
Mini Reviews in Medicinal Chemistry|October 4, 2017
CORAL: Monte Carlo Method to Predict Endpoints for Medical ChemistryAlla P Toropova, Andrey A Toropov
European Journal of Pharmaceutical Sciences : Official Journal of the European Federation for Pharmaceutical Sciences|February 12, 2014
CORAL software: prediction of carcinogenicity of drugs by means of the Monte Carlo methodAlla P Toropova, Andrey A Toropov
Environmental Science and Pollution Research International|September 27, 2018
Use of the index of ideality of correlation to improve models of eco-toxicityAlla P Toropova, Andrey A Toropov
Chemosphere|October 29, 2013
Optimal descriptor as a translator of eclectic information into the prediction of membrane damage by means of various TiO(2) nanoparticlesAlla P Toropova, Andrey A Toropov
Current Drug Metabolism|February 23, 2018
Editorial; Impact of Drug Metabolism and its Relevance upon Drug DiscoveryAlla P Toropova, Andrey A Toropov
Anticancer Research|November 7, 2018
Predicting Cytotoxicity of 2-Phenylindole Derivatives Against Breast Cancer Cells Using Index of Ideality of CorrelationAndrey A Toropov, Alla P Toropova
Journal of Theoretical Biology|January 15, 2017
Nano-QSAR in cell biology: Model of cell viability as a mathematical function of available eclectic dataAlla P Toropova, Andrey A Toropov
Chemosphere|June 1, 2015
Quasi-SMILES and nano-QFAR: united model for mutagenicity of fullerene and MWCNT under different conditionsAndrey A Toropov, Alla P Toropova
Pageof 17