Literature DB >> 9836611

Correlation of human jejunal permeability (in vivo) of drugs with experimentally and theoretically derived parameters. A multivariate data analysis approach.

S Winiwarter1, N M Bonham, F Ax, A Hallberg, H Lennernäs, A Karlén.   

Abstract

The effective permeability (Peff) in the human jejunum (in vivo) of 22 structurally diverse compounds was correlated with both experimentally determined lipophilicity values and calculated molecular descriptors. The permeability data were previously obtained by using a regional in vivo perfusion system in the proximal jejunum in humans as part of constructing a biopharmaceutical classification system for oral immediate-release products. pKa, log P, and, where relevant, log Pion values were determined using the pH-metric technique. On the basis of these experiments, log D values were calculated at pH 5.5, 6.5, and 7.4. Multivariate data analysis was used to derive models that correlate passive intestinal permeability to physicochemical descriptors. The best model obtained, based on 13 passively transcellularly absorbed compounds, used the variables HBD (number of hydrogen bond donors), PSA (polar surface area), and either log D5.5 or log D6.5 (octanol/water distribution coefficient at pH 5.5 and 6.5, respectively). Statistically good models for prediciting human in vivo Peff values were also obtained by using only HBD and PSA or HBD, PSA, and CLOGP. These models can be used to predict passive intestinal membrane diffusion in humans for compounds that fit within the defined property space. We used one of the models obtained above to predict the log Peff values for an external validation set consisting of 34 compounds. A good correlation with the absorption data of these compounds was found.

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Year:  1998        PMID: 9836611     DOI: 10.1021/jm9810102

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  66 in total

Review 1.  Lipophilicity in PK design: methyl, ethyl, futile.

Authors:  H van de Waterbeemd; D A Smith; B C Jones
Journal:  J Comput Aided Mol Des       Date:  2001-03       Impact factor: 3.686

2.  A virtual high throughput screen for high affinity cytochrome P450cam substrates. Implications for in silico prediction of drug metabolism.

Authors:  G M Keseru
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Review 3.  Theoretical predictions of drug absorption in drug discovery and development.

Authors:  Patric Stenberg; Christel A S Bergström; Kristina Luthman; Per Artursson
Journal:  Clin Pharmacokinet       Date:  2002       Impact factor: 6.447

4.  Physicochemical properties and transport of steroids across Caco-2 cells.

Authors:  Fried Faassen; Jan Kelder; Johan Lenders; Rob Onderwater; Herman Vromans
Journal:  Pharm Res       Date:  2003-02       Impact factor: 4.200

5.  Development of a 7-day, 96-well Caco-2 permeability assay with high-throughput direct UV compound analysis.

Authors:  Jochem Alsenz; E Haenel
Journal:  Pharm Res       Date:  2003-12       Impact factor: 4.200

6.  Quantitative biopharmaceutics classification system: the central role of dose/solubility ratio.

Authors:  Eleni Rinaki; Georgia Valsami; Panos Macheras
Journal:  Pharm Res       Date:  2003-12       Impact factor: 4.200

7.  Multivariate statistics of disposition pharmacokinetic parameters for structurally unrelated drugs used in therapeutics.

Authors:  Vangelis Karalis; Anna Tsantili-Kakoulidou; Panos Macheras
Journal:  Pharm Res       Date:  2002-12       Impact factor: 4.200

8.  Surface plasmon resonance studies of the direct interaction between a drug/intestinal brush border membrane.

Authors:  Kwangmeyung Kim; Sungpil Cho; Jae Hyung Park; Youngro Byun; Hesson Chung; Ick Chan Kwon; Seo Young Jeong
Journal:  Pharm Res       Date:  2004-07       Impact factor: 4.200

9.  Bioavailability prediction based on molecular structure for a diverse series of drugs.

Authors:  Joseph V Turner; Desmond J Maddalena; Snezana Agatonovic-Kustrin
Journal:  Pharm Res       Date:  2004-01       Impact factor: 4.200

10.  Computational approaches for modeling human intestinal absorption and permeability.

Authors:  Govindan Subramanian; Douglas B Kitchen
Journal:  J Mol Model       Date:  2006-04-01       Impact factor: 1.810

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