Literature DB >> 12008054

A comparative study of artificial membrane permeability assay for high throughput profiling of drug absorption potential.

Chengyue Zhu1, Lan Jiang, Teng-Man Chen, Kin-Kai Hwang.   

Abstract

Artificial membrane permeability measurement is a potentially high throughput and low cost alternative for in vitro assessment of drug absorption potential. It will be an ideal screening/profiling tool in the lead generation program of drug discovery research if it is proven to be generally applicable for classifying drug absorption potential and is advantageous over other in vitro or in silico methods. This study provides an in-depth evaluation of the method in close comparison to Caco-2, LogD, LogP, polar surface area (PSA), and quantitative structure-property relationship (QSPR) predictions using a large and diverse compound set. It showed that the accuracy of using artificial membrane permeability in assessing drug absorption is comparable to Caco-2, but significantly better than LogP, LogD, PSA, and QSPR predictions. This study also explored the artificial membrane composition by adopting a hydrophilic filter membrane for artificial membrane (lecithin-dodecane) support. The use of hydrophilic filter membrane increased the rate of permeation significantly and reduced the transport time to 2 h or less as compared with over 10 h when a hydrophobic filter membrane is used.

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Year:  2002        PMID: 12008054     DOI: 10.1016/s0223-5234(02)01360-0

Source DB:  PubMed          Journal:  Eur J Med Chem        ISSN: 0223-5234            Impact factor:   6.514


  35 in total

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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

5.  Comparative QSAR studies on PAMPA/modified PAMPA for high throughput profiling of drug absorption potential with respect to Caco-2 cells and human intestinal absorption.

Authors:  Rajeshwar P Verma; Corwin Hansch; Cynthia D Selassie
Journal:  J Comput Aided Mol Des       Date:  2007-01-26       Impact factor: 3.686

Review 6.  Modeling kinetics of subcellular disposition of chemicals.

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Review 7.  Towards quantitative prediction of oral drug absorption.

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8.  Insights into the permeability of drugs and drug-like molecules from MI-QSAR and HQSAR studies.

Authors:  Ranajit N Shinde; K Srikanth; M Elizabeth Sobhia
Journal:  J Mol Model       Date:  2011-06-03       Impact factor: 1.810

9.  An integrated drug-likeness study for bicyclic privileged structures: from physicochemical properties to in vitro ADME properties.

Authors:  Chunyan Han; Jinlan Zhang; Mingyue Zheng; Yao Xiao; Yan Li; Gang Liu
Journal:  Mol Divers       Date:  2011-05-03       Impact factor: 2.943

10.  Comparison of drug permeabilities and BCS classification: three lipid-component PAMPA system method versus Caco-2 monolayers.

Authors:  Zeynep S Teksin; Paul R Seo; James E Polli
Journal:  AAPS J       Date:  2010-03-12       Impact factor: 4.009

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