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12 Consensus Drug Design Using IT Microcosm
134. Vassiliev PM, Spasov AA, Maltsev DV et al (2013) In silico consensus search for condensed azole derivatives with a high 5-HT2A-antiserotonin activity. In: Proceedings of the
XX Jubilee Russian national congress “Man and drug”, Moscow, 15–19 Apr 2013, p 307
135. Verma RP, Hansch C (2005) An approach toward the problem of outliers in QSAR. Bioorg
Med Chem 13(15):4597–4621
136. Vol’sky VI, Lezina ZM (1991) Small group voting: procedures and methods of comparative
analysis. Nauka, Moscow
137. Yap CW, Li H, Ji ZL et al (2007) Regression methods for developing QSAR and QSPR
models to predict compounds of specific pharmacodynamic, pharmacokinetic and toxicological properties. Mini Rev Med Chem 7(11):1097–1107
138. Zaidler YaI (1967) Search for antiarrhythmic compounds on an isolated rat atrium preparation. In: Modeling, methods of study and experimental therapy of pathological conditions,
part 3. Meditsina, Moscow, p 191
139. Zefirov NS, Palyulin VA (2002) Fragmental approach in QSPR. J Chem Inf Comput Sci
42(5):1112–1122
140. Zefirova ON, Baranova TYu, Lyssenko KA et al (2012) Synthesis and biological testing
of conformationally restricted serotonin analogues with bridgehead moieties. Mendeleev
Commun 22(2):75–77
