Computer classification models on the relationship between chemical structures of compounds and drugs with their blood brain barrier penetration

   


1. Department of Computer-Aided Molecular Design, Institute of Physiologically Active Compounds of Russian Academy of Sciences
2. Molecular Drug Research Group, Medical Faculty; Heinrich-Heine-Universitat Dusseldorf
Type: Experimental/clinical study
DOI: 10.18097/pbmc20125803246      UDK: 541.69 + 519.25 + 518.5      PubMed Id: 22856130
Year: 2012 vol: 58  issue:3  pages: 246-256
Abstract: Ability of drugs to cross blood-brain barrier (BBB) (BBB+ for BBB-penetrating and BBB- for non-penetrating compounds) is one of the most important properties of chemicals acting on the central nervous system (CNS). This work presents the results of modelling of the relationship between chemicals structure and BBB-crossing ability. The data set included 1513 compounds BBB+/- (1276 BBB+ and 237 BBB-). Computer modelling of structure-activity relationship was realized by two directions: using the "read-across" method and linear discriminant analysis (LDA) based on physico-chemical descriptors. It was found that a sum of donor-acceptor factors is the principal parameter, which define BBB penetration.
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Reference: Raevsky О.А., Solodova S.L., Raevskaya О.Е., Liplavskiy Y.V., Mannhold R.M., Computer classification models on the relationship between chemical structures of compounds and drugs with their blood brain barrier penetration, Biomeditsinskaya khimiya, 2012, vol: 58(3), 246-256.
This paper is also available as the English translation:10.1134/S1990750812010131
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