Literature DB >> 11922949

Computational approaches to the prediction of the blood-brain distribution.

Ulf Norinder1, Markus Haeberlein.   

Abstract

This review attempts to summarise present knowledge related to the theoretical modelling of drug transport across the blood-brain barrier. Several computational protocols are described ranging from quantum mechanics-based approaches through molecular mechanics-related techniques to simple and fast procedures based on only the 2-D graph of the investigated structures. Amazingly, few descriptors have been shown to influence the derived relationships in a significant manner and a cornerstone in most of the described models are terms describing hydrogen bonding. A very quick quantitative assessment of the brain partitioning of a compound has also been devised using the following two rules: If N+O (the number of nitrogen and oxygen atoms) in a molecule is less than or equal to five, it has a high chance of entering the brain. The second rule predicts that if log P-(N+O) is positive then log BB is positive.

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Year:  2002        PMID: 11922949     DOI: 10.1016/s0169-409x(02)00005-4

Source DB:  PubMed          Journal:  Adv Drug Deliv Rev        ISSN: 0169-409X            Impact factor:   15.470


  54 in total

1.  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 2.  Improving the prediction of the brain disposition for orally administered drugs using BDDCS.

Authors:  Fabio Broccatelli; Caroline A Larregieu; Gabriele Cruciani; Tudor I Oprea; Leslie Z Benet
Journal:  Adv Drug Deliv Rev       Date:  2011-12-21       Impact factor: 15.470

Review 3.  Reliability of In Vitro and In Vivo Methods for Predicting the Effect of P-Glycoprotein on the Delivery of Antidepressants to the Brain.

Authors:  Yi Zheng; Xijing Chen; Leslie Z Benet
Journal:  Clin Pharmacokinet       Date:  2016-02       Impact factor: 6.447

Review 4.  How to measure drug transport across the blood-brain barrier.

Authors:  Ulrich Bickel
Journal:  NeuroRx       Date:  2005-01

Review 5.  Modeling kinetics of subcellular disposition of chemicals.

Authors:  Stefan Balaz
Journal:  Chem Rev       Date:  2009-05       Impact factor: 60.622

Review 6.  Computational methods in drug discovery.

Authors:  Gregory Sliwoski; Sandeepkumar Kothiwale; Jens Meiler; Edward W Lowe
Journal:  Pharmacol Rev       Date:  2013-12-31       Impact factor: 25.468

7.  SMMDB: a web-accessible database for small molecule modulators and their targets involved in neurological diseases.

Authors:  Subodh Kumar Mishra; Neha Jain; Uma Shankar; Arpita Tawani; Amit Mishra; Amit Kumar
Journal:  Database (Oxford)       Date:  2018-01-01       Impact factor: 3.451

8.  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

9.  Selective neuronal nitric oxide synthase inhibitors and the prevention of cerebral palsy.

Authors:  Haitao Ji; Sidhartha Tan; Jotaro Igarashi; Huiying Li; Matthew Derrick; Pavel Martásek; Linda J Roman; Jeannette Vásquez-Vivar; Thomas L Poulos; Richard B Silverman
Journal:  Ann Neurol       Date:  2009-02       Impact factor: 10.422

10.  Free diffusion of steroid hormones across biomembranes: a simplex search with implicit solvent model calculations.

Authors:  Idit Oren; Sarel J Fleishman; Amit Kessel; Nir Ben-Tal
Journal:  Biophys J       Date:  2004-08       Impact factor: 4.033

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