Literature DB >> 8741017

Modeling lipophilicity from the distribution of electrostatic potential on a molecular surface.

Q Du1, G A Arteca.   

Abstract

Molecular lipophilicity L is represented as a function of four surface electrostatic potential descriptors: L = f(B+F, B-F, B+R, B-R). Each B descriptor is computed from the products of elements of molecular surface area, delta(si), and the molecular electrostatic potential (MEP), V(ri), at the center of an area element: B = sigma(i) delta(si) V(r(i)). Octanol-water partition coefficients (P(ow)) are correlated with these four surface-MEP descriptors: log P(ow) = c0 + c1B+F + c2B-F + c3B+R + c4B-R. Good correlations are obtained for homologous series of aliphatic alcohols, amines and acids, as well as for a set of aromatic compounds with various functional groups. Within this approach, we find that the molecular fragment contributions of surface-MEP descriptions to log P are approximately additive. We have computed the values for the following fragments: -CH2-, -CH3, _COOH, -OH and -NH2. These contributions can be used to estimate the molecular lipophilicity and partition coefficients of new compounds, without additional quantum-mechanical calculations. The proposed approach provides a reasonably accurate tool that can be useful in quantitative structure-activity relations for computer-aided rational drug design. More importantly, the correlation model is conceptually simpler than previous work in the literature and can be improved systematically.

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Year:  1996        PMID: 8741017     DOI: 10.1007/bf00402821

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  8 in total

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Authors:  W KAUZMANN
Journal:  Adv Protein Chem       Date:  1959

2.  Lipophilicity force field profile: an expressive visualization of the lipophilicity molecular potential gradient.

Authors:  F Croizet; M H Langlois; J P Dubost; P Braquet; E Audry; P Dallet; J C Colleter
Journal:  J Mol Graph       Date:  1990-09

3.  Accessible surface areas as a measure of the thermodynamic parameters of hydration of peptides.

Authors:  T Ooi; M Oobatake; G Némethy; H A Scheraga
Journal:  Proc Natl Acad Sci U S A       Date:  1987-05       Impact factor: 11.205

4.  Solvation energy in protein folding and binding.

Authors:  D Eisenberg; A D McLachlan
Journal:  Nature       Date:  1986 Jan 16-22       Impact factor: 49.962

5.  Interrelation between electrostatic and lipophilicity potentials on molecular surfaces.

Authors:  I Rozas; Q Du; G A Arteca
Journal:  J Mol Graph       Date:  1995-04

6.  A new approach to analysis and display of local lipophilicity/hydrophilicity mapped on molecular surfaces.

Authors:  W Heiden; G Moeckel; J Brickmann
Journal:  J Comput Aided Mol Des       Date:  1993-10       Impact factor: 3.686

7.  An extension of the f-fragment method for the calculation of hydrophobic constants (log P) of conformationally defined systems.

Authors:  M A Pleiss; G L Grunewald
Journal:  J Med Chem       Date:  1983-12       Impact factor: 7.446

8.  Solvent-accessible surfaces of proteins and nucleic acids.

Authors:  M L Connolly
Journal:  Science       Date:  1983-08-19       Impact factor: 47.728

  8 in total
  5 in total

1.  Fractional description of free energies of solvation.

Authors:  F J Luque; X Barril; M Orozco
Journal:  J Comput Aided Mol Des       Date:  1999-03       Impact factor: 3.686

2.  A hydrophobic similarity analysis of solvation effects on nucleic acid bases.

Authors:  Jordi Muñoz-Muriedas; Xavier Barril; José María López; Modesto Orozco; Francisco Javier Luque
Journal:  J Mol Model       Date:  2006-09-21       Impact factor: 1.810

3.  Heuristic lipophilicity potential for computer-aided rational drug design.

Authors:  Q Du; G A Arteca; P G Mezey
Journal:  J Comput Aided Mol Des       Date:  1997-09       Impact factor: 3.686

4.  Heuristic lipophilicity potential for computer-aided rational drug design: optimizations of screening functions and parameters.

Authors:  Q Du; P G Mezey
Journal:  J Comput Aided Mol Des       Date:  1998-09       Impact factor: 3.686

5.  Peptide reagent design based on physical and chemical properties of amino acid residues.

Authors:  Qi-Shi Du; Ri-Bo Huang; Yu-Tuo Wei; Cheng-Hua Wang; Kuo-Chen Chou
Journal:  J Comput Chem       Date:  2007-09       Impact factor: 3.376

  5 in total

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