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J Chem Inf Comput Sci. 2001 Jan-Feb;41(1):120-8.

High-throughput prediction of blood-brain partitioning: a thermodynamic approach.

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  • 1Computer Assisted Drug Discovery, Gedeon Richter Ltd, Budapest, Hungary. gy.keseru@richter.hu

Abstract

A high-throughput in silico screening tool for potentially CNS active compounds was developed on the basis of the correlation of solvation free energies and blood-brain partitioning (log(cbrain/cblood) = log BB) data available from experimental sources. Utilizing a thermodynamic approach, solvation free energies were calculated by the fast and efficient generalized Born/surface area continuum solvation model, which enabled us to evaluate more than 10 compounds/min. Our training set involved a structurally diverse set of 55 compounds and yielded a function of log BB = 0.035Gsolv + 0.2592 (r = 0.85, standard error 0.37). Calculation of solvation free energies for 8700 CNS active compounds (CIPSLINE database) revealed that Gsolv is higher than -50 kJ/mol for the 96% of these compounds which can be used as suitable criteria for the identification of compounds preferable for CNS penetration.

PMID:
11206364
[PubMed - indexed for MEDLINE]
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