Literature DB >> 14554156

In silico prediction of blood-brain barrier permeation.

David E Clark1.   

Abstract

This review examines the progress that is being made towards the in silico prediction of brain permeation. Following a brief introduction to the blood-brain barrier, the datasets currently available for in silico modeling are discussed. Recent developments in in silico models of brain permeation are summarized in the context of the current state of the art in prediction accuracy. An analysis of recent models is presented, focusing on what such models reveal about the molecular properties that determine brain permeation. The review concludes by presenting the current key issues in this area of research, noting in particular, the paucity of brain permeation data available for modeling. Finally, possible future directions are suggested.

Mesh:

Year:  2003        PMID: 14554156     DOI: 10.1016/s1359-6446(03)02827-7

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  66 in total

Review 1.  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

2.  In vitro and in vivo investigation of dexibuprofen derivatives for CNS delivery.

Authors:  Xuan Zhang; Xing Liu; Tao Gong; Xun Sun; Zhi-rong Zhang
Journal:  Acta Pharmacol Sin       Date:  2012-02       Impact factor: 6.150

Review 3.  How to measure drug transport across the blood-brain barrier.

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

Review 4.  Evaluation of machine-learning methods for ligand-based virtual screening.

Authors:  Beining Chen; Robert F Harrison; George Papadatos; Peter Willett; David J Wood; Xiao Qing Lewell; Paulette Greenidge; Nikolaus Stiefl
Journal:  J Comput Aided Mol Des       Date:  2007-01-05       Impact factor: 3.686

Review 5.  Drug metabolism and pharmacokinetics, the blood-brain barrier, and central nervous system drug discovery.

Authors:  Mohammad S Alavijeh; Mansoor Chishty; M Zeeshan Qaiser; Alan M Palmer
Journal:  NeuroRx       Date:  2005-10

6.  Discovery of a novel nicotinic receptor antagonist for the treatment of nicotine addiction: 1-(3-Picolinium)-12-triethylammonium-dodecane dibromide (TMPD).

Authors:  Linda P Dwoskin; B Matthew Joyce; Guangrong Zheng; Nichole M Neugebauer; Vamshi K Manda; Paul Lockman; Roger L Papke; Michael T Bardo; Peter A Crooks
Journal:  Biochem Pharmacol       Date:  2007-07-21       Impact factor: 5.858

Review 7.  The significance of acid/base properties in drug discovery.

Authors:  David T Manallack; Richard J Prankerd; Elizabeth Yuriev; Tudor I Oprea; David K Chalmers
Journal:  Chem Soc Rev       Date:  2013-01-21       Impact factor: 54.564

8.  In vitro inhibitory profile of NDGA against AChE and its in silico structural modifications based on ADME profile.

Authors:  Chandran Remya; Kalarickal Vijayan Dileep; Ignatius Tintu; Elessery Jayadevi Variyar; Chittalakkottu Sadasivan
Journal:  J Mol Model       Date:  2012-11-16       Impact factor: 1.810

9.  Predictive screening model for potential vector-mediated transport of cationic substrates at the blood-brain barrier choline transporter.

Authors:  Werner J Geldenhuys; Vamshi K Manda; Rajendar K Mittapalli; Cornelis J Van der Schyf; Peter A Crooks; Linda P Dwoskin; David D Allen; Paul R Lockman
Journal:  Bioorg Med Chem Lett       Date:  2009-12-28       Impact factor: 2.823

Review 10.  In vitro cerebrovascular modeling in the 21st century: current and prospective technologies.

Authors:  Christopher A Palmiotti; Shikha Prasad; Pooja Naik; Kaisar M D Abul; Ravi K Sajja; Anilkumar H Achyuta; Luca Cucullo
Journal:  Pharm Res       Date:  2014-08-07       Impact factor: 4.200

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