428
P. M. Vassiliev et al.
81. Spasov AA, Anisimova VA, Kucheryavenko AF et al (2010) Agent with antithrombogenic
activity. Patent RU 2440814, 10 Nov 2010
82. Spasov AA, Iezsitsa IN, Vassiliev PM et al (2011) Pharmacology of drug stereoisomers.
Izd-vo VolgGMU, Volgograd
83. Spasov AA, Anisimova VA, Gurova NA et al (2011) Agent with antiarrhythmic, antifibrillatory, antiischemic effects and a pharmaceutical composition based on it. Patent RU
2477130, 12 July 2011
84. Starovoitov MK, Vassiliev PM, Rudakova TV et al (2002) The computer aided prediction
of carcinogenic risks of sulfenamide vulcanization accelerators. Kauchuk i rezina 1:28–31
85. Steed JW, Atwood JL (2009) Supramolecular chemistry, 2nd edn. Wiley, Chichester
86. Tallarida RJ (2001) Drug synergism: its detection and applications. J Pharmacol Exp Ther
298(3):865–872
87. The Cheminformatics and QSAR Society (2009) Martin Data Set II (Dopamine D-2 agonists). http://www.qsar.org/resource/datasets.htm. Accessed 21 Apr 2009.
88. Tolstikova TG, Bryzgalov AO, Sorokina IV et al (2007) Increase in pharmacological activity of drugs in their clathrates with plant glycosides. Lett Drug Des Discov 4(3):168–170
89. Toropova AP, Toropov AA, Benfenati E et al (2011) CORAL: Quantitative structure–activity relationship models for estimating toxicity of organic compounds in rats. J Comput
Chem, 32(12):2727–2733
90. Toropova AP, Toropov AA, Benfenati E et al (2012) CORAL: models of toxicity of binary
mixtures. Chemom Intell Lab Syst, 119:39–43
91. Vapnik VN (1998) Statistical learning theory. Wiley, New York
92. Varnek A, Fourches D, Horvath D et al (2008) ISIDA—platform for virtual screening based
on fragment and pharmacophoric descriptors. Curr Comput Aided Drug Des, 4(3):191–198
93. Vassiliev PM (1989) A complex statistical approach to computer system creation for
designing pharmacologically active compounds. In: Proceedings of All-Union scientific
conference “Estimating Pharmacological activity of Chemical Compounds: Principles and
Approaches”, Moscow, 15–19 Nov 1989, part 1, p 56
94. Vassiliev PM (1991) Generalized pattern of biologically active compound class as an alternative to pharmacophores. In: WATOC. Proceedings of the first All-Union conference on
theoretical organic chemistry, Volgograd, 29 Sept–5 Oct 1991, pp 77, 497
95. Vassiliev PM (2000) High-complexity dynamic chemical systems. In: Proceedings of the
first Russian electronic conference on bioinformatics (RECOB–2000), Moscow, 15 Mar–
21 Apr 2000, p G05
96. Vassiliev PM (2000) Strategies of computer prediction of organic compound properties.
In: Proceedings of International scientific and technical conference “Modern information
technology. Section “Information technologies in scientific experiments”, PenzTI, Penza,
p 7
97. Vassiliev PM (2001) Computer prediction of a spectrum of pharmacological activity of
multicomponent drugs using conservative strategy in Microcosm system. In: Proceedings
of International scientific and practical conference “Modern techniques and technologies in
medicine and biology”, Novocherkassk, 25 Dec 2000, part 2, pp 48–49
98. Vassiliev PM (2001) Microcosm, a software system for prediction of organic compound
properties. In: Proceedings of the 2nd Russian conference “Molecular modeling”, Moscow,
24–26 Apr 2001, p 21
99. Vassiliev PM (2002) Paradigm of property prediction of organic compounds in software
complex Microcosm. In: Proceedings of the first National conference “Information Technology in Solving Fundamental Scientific Problems and Applied Problems in Chemistry,
Biology, Pharmaceutics, Medicine (IVTN-2002)”, Moscow, 9 Apr–13 June 2002, p 54
100. Vassiliev PM (2002) Virtual screening for anti-HIV active compounds using risk strategy
in software system Microcosm. In: Proceedings of the IX Russian National Congress “Man
and drug”, Moscow, 8–12 Apr 2002, p 592
P. M. Vassiliev et al.
81. Spasov AA, Anisimova VA, Kucheryavenko AF et al (2010) Agent with antithrombogenic
activity. Patent RU 2440814, 10 Nov 2010
82. Spasov AA, Iezsitsa IN, Vassiliev PM et al (2011) Pharmacology of drug stereoisomers.
Izd-vo VolgGMU, Volgograd
83. Spasov AA, Anisimova VA, Gurova NA et al (2011) Agent with antiarrhythmic, antifibrillatory, antiischemic effects and a pharmaceutical composition based on it. Patent RU
2477130, 12 July 2011
84. Starovoitov MK, Vassiliev PM, Rudakova TV et al (2002) The computer aided prediction
of carcinogenic risks of sulfenamide vulcanization accelerators. Kauchuk i rezina 1:28–31
85. Steed JW, Atwood JL (2009) Supramolecular chemistry, 2nd edn. Wiley, Chichester
86. Tallarida RJ (2001) Drug synergism: its detection and applications. J Pharmacol Exp Ther
298(3):865–872
87. The Cheminformatics and QSAR Society (2009) Martin Data Set II (Dopamine D-2 agonists). http://www.qsar.org/resource/datasets.htm. Accessed 21 Apr 2009.
88. Tolstikova TG, Bryzgalov AO, Sorokina IV et al (2007) Increase in pharmacological activity of drugs in their clathrates with plant glycosides. Lett Drug Des Discov 4(3):168–170
89. Toropova AP, Toropov AA, Benfenati E et al (2011) CORAL: Quantitative structure–activity relationship models for estimating toxicity of organic compounds in rats. J Comput
Chem, 32(12):2727–2733
90. Toropova AP, Toropov AA, Benfenati E et al (2012) CORAL: models of toxicity of binary
mixtures. Chemom Intell Lab Syst, 119:39–43
91. Vapnik VN (1998) Statistical learning theory. Wiley, New York
92. Varnek A, Fourches D, Horvath D et al (2008) ISIDA—platform for virtual screening based
on fragment and pharmacophoric descriptors. Curr Comput Aided Drug Des, 4(3):191–198
93. Vassiliev PM (1989) A complex statistical approach to computer system creation for
designing pharmacologically active compounds. In: Proceedings of All-Union scientific
conference “Estimating Pharmacological activity of Chemical Compounds: Principles and
Approaches”, Moscow, 15–19 Nov 1989, part 1, p 56
94. Vassiliev PM (1991) Generalized pattern of biologically active compound class as an alternative to pharmacophores. In: WATOC. Proceedings of the first All-Union conference on
theoretical organic chemistry, Volgograd, 29 Sept–5 Oct 1991, pp 77, 497
95. Vassiliev PM (2000) High-complexity dynamic chemical systems. In: Proceedings of the
first Russian electronic conference on bioinformatics (RECOB–2000), Moscow, 15 Mar–
21 Apr 2000, p G05
96. Vassiliev PM (2000) Strategies of computer prediction of organic compound properties.
In: Proceedings of International scientific and technical conference “Modern information
technology. Section “Information technologies in scientific experiments”, PenzTI, Penza,
p 7
97. Vassiliev PM (2001) Computer prediction of a spectrum of pharmacological activity of
multicomponent drugs using conservative strategy in Microcosm system. In: Proceedings
of International scientific and practical conference “Modern techniques and technologies in
medicine and biology”, Novocherkassk, 25 Dec 2000, part 2, pp 48–49
98. Vassiliev PM (2001) Microcosm, a software system for prediction of organic compound
properties. In: Proceedings of the 2nd Russian conference “Molecular modeling”, Moscow,
24–26 Apr 2001, p 21
99. Vassiliev PM (2002) Paradigm of property prediction of organic compounds in software
complex Microcosm. In: Proceedings of the first National conference “Information Technology in Solving Fundamental Scientific Problems and Applied Problems in Chemistry,
Biology, Pharmaceutics, Medicine (IVTN-2002)”, Moscow, 9 Apr–13 June 2002, p 54
100. Vassiliev PM (2002) Virtual screening for anti-HIV active compounds using risk strategy
in software system Microcosm. In: Proceedings of the IX Russian National Congress “Man
and drug”, Moscow, 8–12 Apr 2002, p 592