Literature DB >> 9385553

Heuristic lipophilicity potential for computer-aided rational drug design.

Q Du1, G A Arteca, P G Mezey.   

Abstract

In this contribution we suggest a heuristic molecular lipophilicity potential (HMLP), which is a structure-based technique requiring no empirical indices of atomic lipophilicity. The input data used in this approach are molecular geometries and molecular surfaces. The HMLP is a modified electrostatic potential, combined with the averaged influences from the molecular environment. Quantum mechanics is used to calculate the electron density function rho(r) and the electrostatic potential V(r), and from this information a lipophilicity potential L(r) is generated. The HMLP is a unified lipophilicity and hydrophilicity potential. The interactions of dipole and multipole moments, hydrogen bonds, and charged atoms in a molecule are included in the hydrophilic interactions in this model. The HMLP is used to study hydrogen bonds and water-octanol partition coefficients in several examples. The calculated results show that the HMLP gives qualitatively and quantitatively correct, as well as chemically reasonable, results in cases where comparisons are available. These comparisons indicate that the HMLP has advantages over the empirical lipophilicity potential in many aspects. The HMLP is a three-dimensional and easily visualizable representation of molecular lipophilicity, suggested as a potential tool in computer-aided three-dimensional drug design.

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Year:  1997        PMID: 9385553     DOI: 10.1023/a:1007949918800

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


  17 in total

1.  Comparative molecular field analysis (CoMFA). 1. Effect of shape on binding of steroids to carrier proteins.

Authors:  R D Cramer; D E Patterson; J D Bunce
Journal:  J Am Chem Soc       Date:  1988-08-01       Impact factor: 15.419

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

Authors:  Q Du; G A Arteca
Journal:  J Comput Aided Mol Des       Date:  1996-04       Impact factor: 3.686

Review 4.  Three-dimensional structure-activity relationships.

Authors:  G R Marshall; R D Cramer
Journal:  Trends Pharmacol Sci       Date:  1988-08       Impact factor: 14.819

5.  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

Review 6.  Strategies for indirect computer-aided drug design.

Authors:  G H Loew; H O Villar; I Alkorta
Journal:  Pharm Res       Date:  1993-04       Impact factor: 4.200

7.  Compass: predicting biological activities from molecular surface properties. Performance comparisons on a steroid benchmark.

Authors:  A N Jain; K Koile; D Chapman
Journal:  J Med Chem       Date:  1994-07-22       Impact factor: 7.446

8.  Molecular similarity indices in a comparative analysis (CoMSIA) of drug molecules to correlate and predict their biological activity.

Authors:  G Klebe; U Abraham; T Mietzner
Journal:  J Med Chem       Date:  1994-11-25       Impact factor: 7.446

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

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

10.  On the prediction of binding properties of drug molecules by comparative molecular field analysis.

Authors:  G Klebe; U Abraham
Journal:  J Med Chem       Date:  1993-01-08       Impact factor: 7.446

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  3 in total

1.  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

2.  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

3.  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

  3 in total

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