Literature DB >> 18164692

Correlation between PAMPA permeability and cellular activities of hepatitis C virus protease inhibitors.

Cheng Li1, Latha Nair, Tongtong Liu, Fangbiao Li, John Pichardo, Sony Agrawal, Robert Chase, Xiao Tong, Annette S Uss, Stephane Bogen, F George Njoroge, Richard A Morrison, K-C Cheng.   

Abstract

Parallel artificial membrane permeability assay (PAMPA) and Caco-2 cells have been frequently used for the evaluation of in vitro permeability of new chemical entities. In this study we evaluated the correlation between permeability, assessed by both methods, and the cellular potency of 34 novel hepatitis C virus (HCV) protease inhibitors. Two types of assays were used to determine the potency of HCV protease inhibitors: a cell-free assay that evaluates the intrinsic affinity (K(i)) between the protease and the inhibitor and a cell-based replicon assay that determines the inhibitors' IC90. When the K(i)/IC90 ratios were compared with the PAMPA permeability and the Caco-2 permeability by linear regression analysis, a reasonable correlation was found between the K(i)/IC90 ratio and PAMPA permeability (r2=0.76) but not with Caco-2 permeability (r2=0.29). Correlations were also assessed between K(i)/IC90 ratios and the following physico-chemical properties: logP (r2=0.41), logD (r2=0.58), clogP (r2=0.13), and mlogP (r2=0.30). These results suggest that passive permeability may play a role in the uptake and cellular activity of these HCV protease inhibitors, and that PAMPA was more predictive of cellular activity than physico-chemical properties or Caco-2 permeability.

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Year:  2007        PMID: 18164692     DOI: 10.1016/j.bcp.2007.10.031

Source DB:  PubMed          Journal:  Biochem Pharmacol        ISSN: 0006-2952            Impact factor:   5.858


  5 in total

Review 1.  Coexistence of passive and carrier-mediated processes in drug transport.

Authors:  Kiyohiko Sugano; Manfred Kansy; Per Artursson; Alex Avdeef; Stefanie Bendels; Li Di; Gerhard F Ecker; Bernard Faller; Holger Fischer; Grégori Gerebtzoff; Hans Lennernaes; Frank Senner
Journal:  Nat Rev Drug Discov       Date:  2010-08       Impact factor: 84.694

2.  Highly predictive and interpretable models for PAMPA permeability.

Authors:  Hongmao Sun; Kimloan Nguyen; Edward Kerns; Zhengyin Yan; Kyeong Ri Yu; Pranav Shah; Ajit Jadhav; Xin Xu
Journal:  Bioorg Med Chem       Date:  2016-12-31       Impact factor: 3.641

3.  Testing physical models of passive membrane permeation.

Authors:  Siegfried S F Leung; Jona Mijalkovic; Kenneth Borrelli; Matthew P Jacobson
Journal:  J Chem Inf Model       Date:  2012-05-24       Impact factor: 4.956

4.  Bisphosphonate inhibition of a Plasmodium farnesyl diphosphate synthase and a general method for predicting cell-based activity from enzyme data.

Authors:  Dushyant Mukkamala; Joo Hwan No; Lauren M Cass; Ting-Kai Chang; Eric Oldfield
Journal:  J Med Chem       Date:  2008-12-25       Impact factor: 7.446

Review 5.  Design and application of microfluidic systems for in vitro pharmacokinetic evaluation of drug candidates.

Authors:  T J Maguire; E Novik; P Chao; J Barminko; Y Nahmias; M L Yarmush; K-C Cheng
Journal:  Curr Drug Metab       Date:  2009-12       Impact factor: 3.731

  5 in total

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