Literature DB >> 15324921

Drug permeation in biomembranes: in vitro and in silico prediction and influence of physicochemical properties.

Annika Mälkiä1, Lasse Murtomäki, Arto Urtti, Kyösti Kontturi.   

Abstract

In the past decades, it has become increasingly apparent that in addition to therapeutic effect, drugs need to exhibit favourable absorption, distribution, metabolism and excretion (ADME) characteristics to produce a desirable response in vivo. As the recent progress in drug discovery technology enables rapid synthesis of vast numbers of potential drug candidates, robust methods are required for the effective screening of compounds synthesized within such programs, so that compounds with poor pharmacokinetic properties can be rejected at an early stage of drug development. Furthermore, a viable in silico method would save resources by enabling virtual screening of drug candidates already prior to synthesis. This review gives a general overview of the approaches aimed at predicting biological permeation, one of the cornerstones behind the ADME behaviour of drugs. The most important experimental and computational models are reviewed. Physicochemical factors underlying the permeation process are discussed.

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Year:  2004        PMID: 15324921     DOI: 10.1016/j.ejps.2004.05.009

Source DB:  PubMed          Journal:  Eur J Pharm Sci        ISSN: 0928-0987            Impact factor:   4.384


  26 in total

1.  Prediction of the corneal permeability of drug-like compounds.

Authors:  Heidi Kidron; Kati-Sisko Vellonen; Eva M del Amo; Anita Tissari; Arto Urtti
Journal:  Pharm Res       Date:  2010-04-13       Impact factor: 4.200

Review 2.  Lipophilicity and its relationship with passive drug permeation.

Authors:  Xiangli Liu; Bernard Testa; Alfred Fahr
Journal:  Pharm Res       Date:  2010-10-30       Impact factor: 4.200

3.  Permeation of aromatic carboxylic acids across lipid bilayers: the pH-partition hypothesis revisited.

Authors:  Anita V Thomae; Heidi Wunderli-Allenspach; Stefanie D Krämer
Journal:  Biophys J       Date:  2005-06-10       Impact factor: 4.033

4.  A cell-based molecular transport simulator for pharmacokinetic prediction and cheminformatic exploration.

Authors:  Xinyuan Zhang; Kerby Shedden; Gus R Rosania
Journal:  Mol Pharm       Date:  2006 Nov-Dec       Impact factor: 4.939

Review 5.  Recent progress in the computational prediction of aqueous solubility and absorption.

Authors:  Stephen R Johnson; Weifan Zheng
Journal:  AAPS J       Date:  2006-02-03       Impact factor: 4.009

Review 6.  A cheminformatic toolkit for mining biomedical knowledge.

Authors:  Gus R Rosania; Gordon Crippen; Peter Woolf; David States; Kerby Shedden
Journal:  Pharm Res       Date:  2007-03-24       Impact factor: 4.200

7.  An atomistic model of passive membrane permeability: application to a series of FDA approved drugs.

Authors:  Chakrapani Kalyanaraman; Matthew P Jacobson
Journal:  J Comput Aided Mol Des       Date:  2007-11-08       Impact factor: 3.686

8.  In silico prediction of drug permeability across buccal mucosa.

Authors:  Amit Kokate; Xiaoling Li; Paul J Williams; Parminder Singh; Bhaskara R Jasti
Journal:  Pharm Res       Date:  2009-01-30       Impact factor: 4.200

9.  Effect of drug lipophilicity and ionization on permeability across the buccal mucosa: a technical note.

Authors:  Amit Kokate; Xiaoling Li; Bhaskara Jasti
Journal:  AAPS PharmSciTech       Date:  2008-03-20       Impact factor: 3.246

10.  Retina-choroid-sclera permeability for ophthalmic drugs in the vitreous to blood direction: quantitative assessment.

Authors:  Nahid Haghjou; Mohammad J Abdekhodaie; Yu-Ling Cheng
Journal:  Pharm Res       Date:  2012-10-02       Impact factor: 4.200

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