Literature DB >> 11028950

Estimation of molecular linear free energy relationship descriptors. 4. Correlation and prediction of cell permeation.

J A Platts1, M H Abraham, A Hersey, D Butina.   

Abstract

PURPOSE: The passage of molecules across cell membranes is a crucial step in many physiological processes. We therefore seek physical models of this process, in order to predict permeation for new molecules, and to better understand the important interactions which determine the rate of permeation.
METHODS: Several sets of cell permeation data reported by Collander have been correlated against calculated Linear Free Energy Relation (LFER) descriptors. These descriptors, taken as the sum of fragmental contributions, cover the size, polarity, polarizabilty, and hydrogen bonding capacity of each molecule.
RESULTS: For 36 values of permeation into Chara ceratophylla cells, a model (sd = 0.24) dominated by hydrogen bond acidity is found, while for 63 rates of permeation values into Nitella cells a very similar model yields sd = 0.46. Comparisons between the two cell types are made directly for 17 compounds in both data sets, indicate differences of a similar magnitude to the standard deviations of the above models. The two data sets can be combined to yield a generic model of rates of permeation into cells, resulting in an sd value of 0.46 for a total of 100 data points.
CONCLUSIONS: Models allowing accurate prediction of cell permeation have been constructed using 100 experimental data. We demonstrate that hydrogen bond acidity is the dominating factor in determining cell permeation for two distinct species of algal cell.

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Mesh:

Year:  2000        PMID: 11028950     DOI: 10.1023/a:1007543708522

Source DB:  PubMed          Journal:  Pharm Res        ISSN: 0724-8741            Impact factor:   4.200


  11 in total

1.  Estimation of molecular linear free energy relationship descriptors by a group contribution approach. 2. Prediction of partition coefficients

Authors: 
Journal:  J Chem Inf Comput Sci       Date:  2000-01

2.  On lipoid solubility.

Authors:  R COLLANDER
Journal:  Acta Physiol Scand       Date:  1947-06-20

3.  Algorithms for skin permeability using hydrogen bond descriptors: the problem of steroids.

Authors:  M H Abraham; F Martins; R C Mitchell
Journal:  J Pharm Pharmacol       Date:  1997-09       Impact factor: 3.765

Review 4.  Drug exsorption from blood into the gastrointestinal tract.

Authors:  K Arimori; M Nakano
Journal:  Pharm Res       Date:  1998-03       Impact factor: 4.200

5.  Estimating skin permeation. The validation of five mathematical skin permeation models.

Authors:  A Wilschut; W F ten Berge; P J Robinson; T E McKone
Journal:  Chemosphere       Date:  1995-04       Impact factor: 7.086

6.  QSAR analysis of skin permeability of various drugs in man as compared to in vivo and in vitro studies in rodents.

Authors:  E J Lien; H Gao
Journal:  Pharm Res       Date:  1995-04       Impact factor: 4.200

7.  Skin permeability of various non-steroidal anti-inflammatory drugs in man.

Authors:  T Yano; A Nakagawa; M Tsuji; K Noda
Journal:  Life Sci       Date:  1986-09-22       Impact factor: 5.037

8.  Hydrogen bonding. 47. Characterization of the ethylene glycol-heptane partition system: hydrogen bond acidity and basicity of peptides.

Authors:  M H Abraham; F Martins; R C Mitchell; C J Salter
Journal:  J Pharm Sci       Date:  1999-02       Impact factor: 3.534

9.  Partitioning of solutes in different solvent systems: the contribution of hydrogen-bonding capacity and polarity.

Authors:  N el Tayar; R S Tsai; B Testa; P A Carrupt; A Leo
Journal:  J Pharm Sci       Date:  1991-06       Impact factor: 3.534

10.  Hydrogen bonding. 32. An analysis of water-octanol and water-alkane partitioning and the delta log P parameter of seiler.

Authors:  M H Abraham; H S Chadha; G S Whiting; R C Mitchell
Journal:  J Pharm Sci       Date:  1994-08       Impact factor: 3.534

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  3 in total

Review 1.  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

2.  Quantitative Retention (Structure)-Activity Relationships in Predicting the Pharmaceutical and Toxic Properties of Potential Pesticides.

Authors:  Małgorzata Janicka; Anna Śliwińska
Journal:  Molecules       Date:  2022-06-03       Impact factor: 4.927

3.  Development of a Hierarchical Support Vector Regression-Based In Silico Model for Caco-2 Permeability.

Authors:  Giang Huong Ta; Cin-Syong Jhang; Ching-Feng Weng; Max K Leong
Journal:  Pharmaceutics       Date:  2021-01-28       Impact factor: 6.321

  3 in total

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