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Publications in Math-Net.Ru
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Machine learning modelling of chemical reaction characteristics: yesterday, today, tomorrow
Mendeleev Commun., 31:6 (2021), 769–780
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Artificial intelligence in synthetic chemistry: achievements and prospects
Usp. Khim., 86:11 (2017), 1127–1156
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Molecular modelling of receptors of physiologically active compounds for medicinal chemistry purposes
Usp. Khim., 78:6 (2009), 539–557
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Neural networks as a method for elucidating structure–property relationships for organic compounds
Usp. Khim., 72:7 (2003), 706–727
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Molecular modelling of the human A2b adenosine receptor and an analysis of the binding modes of its selective ligands
Mendeleev Commun., 12:6 (2002), 211–212
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Quantitative structure–conditions–property relationship studies. Neural network modelling of the acid hydrolysis of esters
Mendeleev Commun., 12:5 (2002), 185–186
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Crystal and molecular structure of $3{,}7$-diacetyl-$1{,}5$-diphenyl-$3{,}7$-diazabicyclo $[3,3,1]$ nonane-$9$-one
Dokl. Akad. Nauk SSSR, 281:6 (1985), 1367–1370
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