Literature DB >> 9002460

Introduction of solvent-accessible surface area in the calculation of the hydrophobicity parameter log P from an atomistic approach.

T Masuda1, T Jikihara, K Nakamura, A Kimura, T Takagi, H Fujiwara.   

Abstract

A conventional atomistic approach of estimating molecular hydrophobicity (log P) was improved by taking into account the proximity effect of substituent groups as well as the importance of solute-solvent interaction in the partition phenomena. The new method reassigns atomic parameters when the molecule is fully exposed to surrounding solvent. Each atom in a molecule contributes to the log P by an amount of its atomic parameter multiplied by the degree of exposure to the surrounding solvent. This degree of exposure is calculated from the solvent-accessible surface area (SASA). In carrying out actual calculations, the necessary parameters were determined with the log P values of 500 compounds that were used as training data. This method, which may be called SASA-scaled atomistic method, gave satisfactory results when compared with the original method of estimating log P from atomic parameters. The ability of the new method to predict log P for compounds other than those used as the training data was also tested. The newly proposed SASA-scaled atomistic method was also compared with other methods available for the calculation of log P. The SASA-scaled atomistic method gave better estimations from fewer training data. Finally, the ability of the proposed method to predict differences in log P for steric isomers was tested. The new method was superior to other methods, including CLOGP, a widely accepted method of estimating log P for a variety of compounds.

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Year:  1997        PMID: 9002460     DOI: 10.1021/js960237m

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  2 in total

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Authors:  R Mannhold; H van de Waterbeemd
Journal:  J Comput Aided Mol Des       Date:  2001-04       Impact factor: 3.686

2.  QSID Tool: a new three-dimensional QSAR environmental tool.

Authors:  Dong Sun Park; Jae Min Kim; Young Bok Lee; Chang Ho Ahn
Journal:  J Comput Aided Mol Des       Date:  2008-05-30       Impact factor: 3.686

  2 in total

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