Literature DB >> 21842864

Conformation-dependent QSPR models: logPOW.

Markus Muehlbacher1, Ahmed El Kerdawy, Christian Kramer, Brian Hudson, Timothy Clark.   

Abstract

Quantitative structure-property relationships for predicting the water-octanol partition coefficient, logP(OW), are reported. The models are based on local properties calculated at the standard isodensity surface using semiempirical molecular orbital theory and use descriptors obtained as the areas of the surface found in each bin in a predefined binning scheme. The effect of conformation is taken into account but was found to have little effect on the predictive power of the models. A detailed error analysis suggests that the accuracy of the models is limited by that of the experimental data and that the best possible performance is approximately ±0.5 log units. The models yield a local hydrophobicity function at the surface of the molecules.

Entities:  

Year:  2011        PMID: 21842864     DOI: 10.1021/ci200276v

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  2 in total

1.  Representing descriptors derived from multiple conformations as uncertain features for machine learning.

Authors:  Ulf Norinder; Henrik Boström
Journal:  J Mol Model       Date:  2013-03-12       Impact factor: 1.810

2.  Qualitative prediction of blood-brain barrier permeability on a large and refined dataset.

Authors:  Markus Muehlbacher; Gudrun M Spitzer; Klaus R Liedl; Johannes Kornhuber
Journal:  J Comput Aided Mol Des       Date:  2011-11-23       Impact factor: 3.686

  2 in total

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