Literature DB >> 8894970

QSAR analysis of membrane permeability to organic compounds.

S Ren1, A Das, E J Lien.   

Abstract

A general mathematical model involving partition coefficient, molecular weight and hydrogen bonding is used to correlate the structures and permeability of various organic compounds through the toad urinary bladder and human red blood cell (RBC) membranes. Log Per (permeability) is correlated with log Po/w (partition coefficient in olive oil/water, or ether/water), log MW (molecular weight) and Hb (hydrogen bonds). Log Po/w is the most important factor among three parameters examined. While increased MW always has a negative effect on the permeability, increased Hb can have either a slightly positive or a slightly negative effect depending on the solvent and membrane systems used. Systematic comparison of the QSAR's (quantitative structure activity relationship) of different biological membranes may serve as a useful guide in drug targeting to different tissues and cell types.

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Year:  1996        PMID: 8894970     DOI: 10.3109/10611869609046268

Source DB:  PubMed          Journal:  J Drug Target        ISSN: 1026-7158            Impact factor:   5.121


  3 in total

1.  Experimental and computational screening models for prediction of aqueous drug solubility.

Authors:  Christel A S Bergström; Ulf Norinder; Kristina Luthman; Per Artursson
Journal:  Pharm Res       Date:  2002-02       Impact factor: 4.200

2.  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

3.  Polar molecular surface properties predict the intestinal absorption of drugs in humans.

Authors:  K Palm; P Stenberg; K Luthman; P Artursson
Journal:  Pharm Res       Date:  1997-05       Impact factor: 4.200

  3 in total

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