Literature DB >> 9344176

Prediction of distribution coefficient from structure. 2. Validation of Prolog D, an expert system.

A Tsantili-Kakoulidou1, I Panderi, F Csizmadia, F Darvas.   

Abstract

Prolog D is a program that formalizes, in a controllable and reproducible manner, an algorithm developed to predict distribution coefficients of ionizable compounds at a given pH and varying counterion concentrations. Its predictive power has been evaluated with experimental log D values measured under standard conditions of buffers and ionic strength. Calculations were performed with the three different options for the estimation of partition coefficients (log P) implemented in the program. Considering the diversity of test compounds as well as the present state of the art in log P and pKa predictions, Prolog D proved to be very efficient and can be used as a tool to provide lipophilicity data. Prediction patterns and correlations with the observed data are of almost equal quality for all options, permitting acceptable results for 80% of the data.

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Year:  1997        PMID: 9344176     DOI: 10.1021/js9601804

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


  5 in total

1.  Prediction of distribution coefficients from structure. Comparison of calculated and experimental data for various drugs.

Authors:  A Tsantili-Kakoulidou; I Panderi; S Piperaki; F Csizmadia; F Darvas
Journal:  Eur J Drug Metab Pharmacokinet       Date:  1999 Jul-Sep       Impact factor: 2.441

2.  Independence of the product of solubility and distribution coefficient of pH.

Authors:  Nina Ni; Tapan Sanghvi; Samuel H Yalkowsky
Journal:  Pharm Res       Date:  2002-12       Impact factor: 4.200

3.  Prediction of pK(a) for neutral and basic drugs based on radial basis function Neural networks and the heuristic method.

Authors:  Feng Luan; Weiping Ma; Haixia Zhang; Xiaoyun Zhang; Mancang Liu; Zhide Hu; Botao Fan
Journal:  Pharm Res       Date:  2005-08-24       Impact factor: 4.200

4.  Uptake and accumulation of four PPCP/EDCs in two leafy vegetables.

Authors:  L K Dodgen; J Li; D Parker; J J Gan
Journal:  Environ Pollut       Date:  2013-07-31       Impact factor: 8.071

5.  Quantitative structure-activity relationships (QSARs) within the cytochrome P450 system: QSARs describing substrate binding, inhibition and induction of P450s.

Authors:  David F V Lewis
Journal:  Inflammopharmacology       Date:  2003       Impact factor: 4.473

  5 in total

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