426
P. M. Vassiliev et al.
42. Izenman AJ (2008) Modern multivariate statistical techniques: regression, classification, and
manifold learning. Springer texts in statistics. Springer Science+Business Media LLC, NewYork
43. Jahnke W, Erlanson DA (eds) (2006) Fragment-based approaches in drug discovery. Methods
and principles in medicinal chemistry, vol 34. Wiley-VCH Verlag GmbH & Co KGaA, Weinheim
44. Klebanov GI, Babenkova IV, Teselkin YuO et al (1988) Estimation of antioxidant activity of
blood plasma using yolk lipoproteins. Labor delo 5:59–62
45. Kochetkov AN, Vassiliev PM, Breslaukhov AG (1991) Micro-COSM as a system of computer aided design of novel chemical compounds with desired biological activity. In: WATOC.
Proceedings of the first All-Union conference on theoretical organic chemistry, Volgograd,
29 Sept–5 Oct 1991, p 500
46. Kosolapov VA (2005) Antioxidant agents: strategy of choice, perspectives of administration.
Dissertation, Volgograd State Medical University
47. Kosolapov VA, Vassiliev PM, Tibir’kova EV et al (2007) Experimental testing the accuracy
of computer prediction of antioxidant activity of novel heterocyclic compounds. In: Proceeding of the III Congress of Pharmacologists of Russia “Pharmacology—practical health”,
Saint Petersburg, 23–27 Sept 2007. Psycopharmacol biol narcol 7:1743
48. Kosolapov VA, Spasov AA, Vassiliev PM et al (2009) Directed search for and study of antioxidant substances. In: Proceedings of the VII Russian scientific conference “Chemistry and
medicine (Orkhimed-2009)”, Ufa, 1–5 July 2009, p 193
49. Kucheryavenko AF, Vassiliev PM, Salaznikova OA et al (2007) Computer search for heterocyclic compounds with a high antiplatelet activity. In: Proceeding of the III Congress of
Pharmacologists of Russia “Pharmacology—practical health”, Saint Petersburg, 23–27 Sept
2007. Psycopharmacol biol narcol 7:1760
50. Kuz’min VE, Muratov EN, Artemenko AG et al (2009) Consensus QSAR modeling of phosphor-containing chiral AChE inhibitors. QSAR Comb Sci 28(6–7):664–677
51. Kuz’min VE, Artemenko AG, Muratov EN et al (2010) Virtual screening and molecular design based on hierarchic QSAR technology. In: Puzyn T, Leszczynski J, Cronin MTD (eds)
Recent advances in QSAR studies: methods and applications. Challenges and advances in
computational chemistry and physics, vol 8. Springer Science+Business Media BV, Dordrecht, pp 127–176
52. Lagunin AA, Filimonov DA, Poroikov VV (2010) Multi-targeted natural products evaluation
based on biological activity prediction with PASS. Curr Pharm Des, 16(15):1703–1717
53. Lankin VZ, Gurevich SM, Burlakova EB (1975) Study of ascorbate-dependent lipid peroxidation of tissues using 2-thiobarbituric acid test. Trudy moskovskogo obstchestva ispitateley
prirody 52:73–78
54. Larichev OI (2006) Theory and methods of decision making. The new university library.
Logos, Moscow
55. Leach MJ (2007) Gymnema sylvestre for diabetes mellitus: a systematic review. J Altern
Complement Med 13(9):977–983
56. Lipinski CA, Lombardo F, Dominy BW et al (1997) Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings.
Adv Drug Deliv Rev 23(1):3–25
57. Livingstone DJ (1991) Pattern recognition methods in rational drug design. Methods Enzymol 203:613–638
58. Mahe P, Ralaivola L, Stoven V et al (2006) The pharmacophore kernel for virtual screening
with support vector machines. J Chem Inf Model 46(5):2003–2014
59. Mandel ID (1988) Cluster analysis. Finansy i statistika, Moscow
60. Mehvar R, Brocks DR (2001) Stereospecific pharmacokinetics and pharmacodynamics of
beta-adrenergic blockers in humans. J Pharm Pharmaceut Sci 4(2):185–200
61. Merz KM, Ringe D, Reynolssds CH (eds) (2010) Drug design: structure- and ligand-based
approaches. Cambridge University Press, New York
P. M. Vassiliev et al.
42. Izenman AJ (2008) Modern multivariate statistical techniques: regression, classification, and
manifold learning. Springer texts in statistics. Springer Science+Business Media LLC, NewYork
43. Jahnke W, Erlanson DA (eds) (2006) Fragment-based approaches in drug discovery. Methods
and principles in medicinal chemistry, vol 34. Wiley-VCH Verlag GmbH & Co KGaA, Weinheim
44. Klebanov GI, Babenkova IV, Teselkin YuO et al (1988) Estimation of antioxidant activity of
blood plasma using yolk lipoproteins. Labor delo 5:59–62
45. Kochetkov AN, Vassiliev PM, Breslaukhov AG (1991) Micro-COSM as a system of computer aided design of novel chemical compounds with desired biological activity. In: WATOC.
Proceedings of the first All-Union conference on theoretical organic chemistry, Volgograd,
29 Sept–5 Oct 1991, p 500
46. Kosolapov VA (2005) Antioxidant agents: strategy of choice, perspectives of administration.
Dissertation, Volgograd State Medical University
47. Kosolapov VA, Vassiliev PM, Tibir’kova EV et al (2007) Experimental testing the accuracy
of computer prediction of antioxidant activity of novel heterocyclic compounds. In: Proceeding of the III Congress of Pharmacologists of Russia “Pharmacology—practical health”,
Saint Petersburg, 23–27 Sept 2007. Psycopharmacol biol narcol 7:1743
48. Kosolapov VA, Spasov AA, Vassiliev PM et al (2009) Directed search for and study of antioxidant substances. In: Proceedings of the VII Russian scientific conference “Chemistry and
medicine (Orkhimed-2009)”, Ufa, 1–5 July 2009, p 193
49. Kucheryavenko AF, Vassiliev PM, Salaznikova OA et al (2007) Computer search for heterocyclic compounds with a high antiplatelet activity. In: Proceeding of the III Congress of
Pharmacologists of Russia “Pharmacology—practical health”, Saint Petersburg, 23–27 Sept
2007. Psycopharmacol biol narcol 7:1760
50. Kuz’min VE, Muratov EN, Artemenko AG et al (2009) Consensus QSAR modeling of phosphor-containing chiral AChE inhibitors. QSAR Comb Sci 28(6–7):664–677
51. Kuz’min VE, Artemenko AG, Muratov EN et al (2010) Virtual screening and molecular design based on hierarchic QSAR technology. In: Puzyn T, Leszczynski J, Cronin MTD (eds)
Recent advances in QSAR studies: methods and applications. Challenges and advances in
computational chemistry and physics, vol 8. Springer Science+Business Media BV, Dordrecht, pp 127–176
52. Lagunin AA, Filimonov DA, Poroikov VV (2010) Multi-targeted natural products evaluation
based on biological activity prediction with PASS. Curr Pharm Des, 16(15):1703–1717
53. Lankin VZ, Gurevich SM, Burlakova EB (1975) Study of ascorbate-dependent lipid peroxidation of tissues using 2-thiobarbituric acid test. Trudy moskovskogo obstchestva ispitateley
prirody 52:73–78
54. Larichev OI (2006) Theory and methods of decision making. The new university library.
Logos, Moscow
55. Leach MJ (2007) Gymnema sylvestre for diabetes mellitus: a systematic review. J Altern
Complement Med 13(9):977–983
56. Lipinski CA, Lombardo F, Dominy BW et al (1997) Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings.
Adv Drug Deliv Rev 23(1):3–25
57. Livingstone DJ (1991) Pattern recognition methods in rational drug design. Methods Enzymol 203:613–638
58. Mahe P, Ralaivola L, Stoven V et al (2006) The pharmacophore kernel for virtual screening
with support vector machines. J Chem Inf Model 46(5):2003–2014
59. Mandel ID (1988) Cluster analysis. Finansy i statistika, Moscow
60. Mehvar R, Brocks DR (2001) Stereospecific pharmacokinetics and pharmacodynamics of
beta-adrenergic blockers in humans. J Pharm Pharmaceut Sci 4(2):185–200
61. Merz KM, Ringe D, Reynolssds CH (eds) (2010) Drug design: structure- and ligand-based
approaches. Cambridge University Press, New York