Andrey Toropov
Andrey Toropov
Ph.D. in mathematics and physics ,invited scientist in Istituto di Ricerche Farmacologiche Mario
Verified email at - Homepage
Cited by
Cited by
Using nano-QSAR to predict the cytotoxicity of metal oxide nanoparticles
T Puzyn, B Rasulev, A Gajewicz, X Hu, TP Dasari, A Michalkova, ...
Nature nanotechnology 6 (3), 175-178, 2011
QSAR as a random event: modeling of nanoparticles uptake in PaCa2 cancer cells
AA Toropov, AP Toropova, T Puzyn, E Benfenati, G Gini, D Leszczynska, ...
Chemosphere 92 (1), 31-37, 2013
The index of ideality of correlation: a criterion of predictive potential of QSPR/QSAR models?
AA Toropov, AP Toropova
Mutation Research/Genetic Toxicology and Environmental Mutagenesis 819, 31-37, 2017
CORAL: quantitative structure–activity relationship models for estimating toxicity of organic compounds in rats
AP Toropova, AA Toropov, E Benfenati, G Gini, D Leszczynska, ...
Journal of computational chemistry 32 (12), 2727-2733, 2011
Novel application of the CORAL software to model cytotoxicity of metal oxide nanoparticles to bacteria Escherichia coli
AA Toropov, AP Toropova, E Benfenati, G Gini, T Puzyn, D Leszczynska, ...
Chemosphere 89 (9), 1098-1102, 2012
Optimal descriptor as a translator of eclectic data into prediction of cytotoxicity for metal oxide nanoparticles under different conditions
AP Toropova, AA Toropov, R Rallo, D Leszczynska, J Leszczynski
Ecotoxicology and environmental safety 112, 39-45, 2015
In silico methods to predict drug toxicity
A Roncaglioni, AA Toropov, AP Toropova, E Benfenati
Current opinion in pharmacology 13 (5), 802-806, 2013
The index of ideality of correlation: A criterion of predictability of QSAR models for skin permeability?
AP Toropova, AA Toropov
Science of the total environment 586, 466-472, 2017
CORAL software: prediction of carcinogenicity of drugs by means of the Monte Carlo method
AP Toropova, AA Toropov
European Journal of Pharmaceutical Sciences 52, 21-25, 2014
Comprehension of drug toxicity: software and databases
AA Toropov, AP Toropova, I Raska Jr, D Leszczynska, J Leszczynski
Computers in biology and medicine 45, 20-25, 2014
Quasi-QSAR for mutagenic potential of multi-walled carbon-nanotubes
AA Toropov, AP Toropova
Chemosphere 124, 40-46, 2015
Prediction of heteroaromatic amine mutagenicity by means of correlation weighting of atomic orbital graphs of local invariants
AA Toropov, AP Toropova
Journal of Molecular Structure: THEOCHEM 538 (1-3), 287-293, 2001
Simplified molecular input line entry system (SMILES) as an alternative for constructing quantitative structure-property relationships (QSPR)
AA Toropov, AP Toropova, DV Mukhamedzhanoval, I Gutman
NISCAIR-CSIR, India, 2005
Quasi-SMILES and nano-QFAR: United model for mutagenicity of fullerene and MWCNT under different conditions
AA Toropov, AP Toropova
Chemosphere 139, 18-22, 2015
QSAR models for HEPT derivates as NNRTI inhibitors based on Monte Carlo method
AP Toropova, AA Toropov, JB Veselinović, FN Miljković, AM Veselinović
European journal of medicinal chemistry 77, 298-305, 2014
SMILES-based QSAR model for arylpiperazines as high-affinity 5-HT1A receptor ligands using CORAL
AM Veselinović, JB Milosavljević, AA Toropov, GM Nikolić
European Journal of Pharmaceutical Sciences 48 (3), 532-541, 2013
Maximum topological distances based indices as molecular descriptors for QSPR. 4. Modeling the enthalpy of formation of hydrocarbons from elements
A Mercader, EA Castro, AA Toropov
International Journal of Molecular Sciences 2 (2), 121-132, 2001
Predicting water solubility and octanol water partition coefficient for carbon nanotubes based on the chiral vector
AA Toropov, D Leszczynska, J Leszczynski
Computational Biology and Chemistry 31 (2), 127-128, 2007
QSPR/QSAR: State-of-art, weirdness, the future
AA Toropov, AP Toropova
Molecules 25 (6), 1292, 2020
Optimal descriptor as a translator of eclectic information into the prediction of membrane damage by means of various TiO2 nanoparticles
AP Toropova, AA Toropov
Chemosphere 93 (10), 2650-2655, 2013
The system can't perform the operation now. Try again later.
Articles 1–20