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Bioorganic & Medicinal Chemistry|April 9, 2008
Additive SMILES-based optimal descriptors in QSAR modelling bee toxicity: Using rare SMILES attributes to define the applicability domainA A Toropov, E BenfenatiSAR and QSAR in Environmental Research|July 23, 2021
The QSAR-search of effective agents towards coronaviruses applying the Monte Carlo methodA A Toropov, A P Toropova, E BenfenatiEuropean Journal of Medicinal Chemistry|July 20, 2015
CORAL: prediction of binding affinity and efficacy of thyroid hormone receptor ligandsA P Toropova, A A Toropov, E BenfenatiEuropean Journal of Medicinal Chemistry|February 24, 2009
QSPR modeling bioconcentration factor (BCF) by balance of correlationsA A Toropov, A P Toropova, E BenfenatiSAR and QSAR in Environmental Research|January 23, 2015
A quasi-QSPR modelling for the photocatalytic decolourization rate constants and cellular viability (CV%) of nanoparticles by CORALA P Toropova, A A Toropov, E BenfenatiEuropean Journal of Medicinal Chemistry|June 24, 2010
SMILES-based optimal descriptors: QSAR modeling of carcinogenicity by balance of correlations with ideal slopesA A Toropov, A P Toropova, E BenfenatiEuropean Journal of Medicinal Chemistry|July 17, 2007
QSPR modeling of octanol/water partition coefficient for vitamins by optimal descriptors calculated with SMILESA A Toropov, A P Toropova, I RaskaMolecular Diversity|May 20, 2009
QSAR-modeling of toxicity of organometallic compounds by means of the balance of correlations for InChI-based optimal descriptorsA A Toropov, A P Toropova, E BenfenatiFood Research International (Ottawa, Ont.)|June 24, 2019
Combinations of graph invariants and attributes of simplified molecular input-line entry system (SMILES) to build up models for sweetnessP G R Achary, A P Toropova, A A ToropovMolecular Diversity|August 15, 2009
QSAR modelling of the toxicity to Tetrahymena pyriformis by balance of correlationsA A Toropov, A P Toropova, E Benfenati, et al.Pageof 4