Literature DB >> 10878329

A simple model for the prediction of blood-brain partitioning.

M Feher1, E Sourial, J M Schmidt.   

Abstract

We derived a simple model for the prediction of blood-brain barrier penetration using three descriptors. The model contains the calculated octanol-water partition coefficient, the number of hydrogen-bond acceptors in an aqueous medium and the polar surface area. It was validated using an extensive dataset, comprising 100 diverse drug molecules. The descriptors are easily calculated and the model is suitable for the rapid prediction of the blood-brain barrier partitioning of drugs.

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Year:  2000        PMID: 10878329     DOI: 10.1016/s0378-5173(00)00422-1

Source DB:  PubMed          Journal:  Int J Pharm        ISSN: 0378-5173            Impact factor:   5.875


  17 in total

1.  Computation of log BB values for compounds transported through carrier-mediated mechanisms using in vitro permeability data from brain microvessel endothelial cell (BMEC) monolayers.

Authors:  Helen H Usansky; Patrick J Sinko
Journal:  Pharm Res       Date:  2003-03       Impact factor: 4.200

2.  Prediction of blood-brain barrier permeation using quantum chemically derived information.

Authors:  Michael C Hutter
Journal:  J Comput Aided Mol Des       Date:  2003-07       Impact factor: 3.686

Review 3.  Physiologically based pharmacokinetic modelling of drug penetration across the blood-brain barrier--towards a mechanistic IVIVE-based approach.

Authors:  Kathryn Ball; François Bouzom; Jean-Michel Scherrmann; Bernard Walther; Xavier Declèves
Journal:  AAPS J       Date:  2013-06-20       Impact factor: 4.009

4.  QSAR modeling of the blood-brain barrier permeability for diverse organic compounds.

Authors:  Liying Zhang; Hao Zhu; Tudor I Oprea; Alexander Golbraikh; Alexander Tropsha
Journal:  Pharm Res       Date:  2008-06-14       Impact factor: 4.200

5.  Prediction of blood-brain partitioning using Monte Carlo simulations of molecules in water.

Authors:  Y N Kaznessis; M E Snow; C J Blankley
Journal:  J Comput Aided Mol Des       Date:  2001-08       Impact factor: 3.686

6.  An N-methyl-D-aspartate receptor channel blocker with neuroprotective activity.

Authors:  K K Tai; S E Blondelle; J M Ostresh; R A Houghten; M Montal
Journal:  Proc Natl Acad Sci U S A       Date:  2001-03-13       Impact factor: 11.205

7.  Toxicity testing in the 21st century: a vision and a strategy.

Authors:  Daniel Krewski; Daniel Acosta; Melvin Andersen; Henry Anderson; John C Bailar; Kim Boekelheide; Robert Brent; Gail Charnley; Vivian G Cheung; Sidney Green; Karl T Kelsey; Nancy I Kerkvliet; Abby A Li; Lawrence McCray; Otto Meyer; Reid D Patterson; William Pennie; Robert A Scala; Gina M Solomon; Martin Stephens; James Yager; Lauren Zeise
Journal:  J Toxicol Environ Health B Crit Rev       Date:  2010-02       Impact factor: 6.393

8.  Qualitative prediction of blood-brain barrier permeability on a large and refined dataset.

Authors:  Markus Muehlbacher; Gudrun M Spitzer; Klaus R Liedl; Johannes Kornhuber
Journal:  J Comput Aided Mol Des       Date:  2011-11-23       Impact factor: 3.686

9.  Simvastatin Hydroxy Acid Fails to Attain Sufficient Central Nervous System Tumor Exposure to Achieve a Cytotoxic Effect: Results of a Preclinical Cerebral Microdialysis Study.

Authors:  Yogesh T Patel; Megan O Jacus; Abigail D Davis; Nidal Boulos; David C Turner; Pradeep K Vuppala; Burgess B Freeman; Richard J Gilbertson; Clinton F Stewart
Journal:  Drug Metab Dispos       Date:  2016-01-22       Impact factor: 3.922

10.  Relationship of quantitative structure and pharmacokinetics in fluoroquinolone antibacterials.

Authors:  Die Cheng; Wei-Ren Xu; Chang-Xiao Liu
Journal:  World J Gastroenterol       Date:  2007-05-07       Impact factor: 5.742

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