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Estimating the Octanol/Water Partition Coefficient for Aliphatic Organic Compounds Using Semi-Empirical Electrotopological Index
A new possibility for estimating the octanol/water coefficient (log P) was investigated using only one descriptor, the semi-empirical electrotopological index (I(SET)). The predictability of four octanol/water partition coefficient (log P) calculation models was compared using a set of 131 aliphatic...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3211036/ https://www.ncbi.nlm.nih.gov/pubmed/22072945 http://dx.doi.org/10.3390/ijms12107250 |
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author | Souza, Erica Silva Zaramello, Laize Kuhnen, Carlos Alberto Junkes, Berenice da Silva Yunes, Rosendo Augusto Heinzen, Vilma Edite Fonseca |
author_facet | Souza, Erica Silva Zaramello, Laize Kuhnen, Carlos Alberto Junkes, Berenice da Silva Yunes, Rosendo Augusto Heinzen, Vilma Edite Fonseca |
author_sort | Souza, Erica Silva |
collection | PubMed |
description | A new possibility for estimating the octanol/water coefficient (log P) was investigated using only one descriptor, the semi-empirical electrotopological index (I(SET)). The predictability of four octanol/water partition coefficient (log P) calculation models was compared using a set of 131 aliphatic organic compounds from five different classes. Log P values were calculated employing atomic-contribution methods, as in the Ghose/Crippen approach and its later refinement, AlogP; using fragmental methods through the ClogP method; and employing an approach considering the whole molecule using topological indices with the MlogP method. The efficiency and the applicability of the I(SET) in terms of calculating log P were demonstrated through good statistical quality (r > 0.99; s < 0.18), high internal stability and good predictive ability for an external group of compounds in the same order as the widely used models based on the fragmental method, ClogP, and the atomic contribution method, AlogP, which are among the most used methods of predicting log P. |
format | Online Article Text |
id | pubmed-3211036 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-32110362011-11-09 Estimating the Octanol/Water Partition Coefficient for Aliphatic Organic Compounds Using Semi-Empirical Electrotopological Index Souza, Erica Silva Zaramello, Laize Kuhnen, Carlos Alberto Junkes, Berenice da Silva Yunes, Rosendo Augusto Heinzen, Vilma Edite Fonseca Int J Mol Sci Article A new possibility for estimating the octanol/water coefficient (log P) was investigated using only one descriptor, the semi-empirical electrotopological index (I(SET)). The predictability of four octanol/water partition coefficient (log P) calculation models was compared using a set of 131 aliphatic organic compounds from five different classes. Log P values were calculated employing atomic-contribution methods, as in the Ghose/Crippen approach and its later refinement, AlogP; using fragmental methods through the ClogP method; and employing an approach considering the whole molecule using topological indices with the MlogP method. The efficiency and the applicability of the I(SET) in terms of calculating log P were demonstrated through good statistical quality (r > 0.99; s < 0.18), high internal stability and good predictive ability for an external group of compounds in the same order as the widely used models based on the fragmental method, ClogP, and the atomic contribution method, AlogP, which are among the most used methods of predicting log P. Molecular Diversity Preservation International (MDPI) 2011-10-24 /pmc/articles/PMC3211036/ /pubmed/22072945 http://dx.doi.org/10.3390/ijms12107250 Text en © 2011 by the authors; licensee MDPI, Basel, Switzerland. http://creativecommons.org/licenses/by/3.0 This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Souza, Erica Silva Zaramello, Laize Kuhnen, Carlos Alberto Junkes, Berenice da Silva Yunes, Rosendo Augusto Heinzen, Vilma Edite Fonseca Estimating the Octanol/Water Partition Coefficient for Aliphatic Organic Compounds Using Semi-Empirical Electrotopological Index |
title | Estimating the Octanol/Water Partition Coefficient for Aliphatic Organic Compounds Using Semi-Empirical Electrotopological Index |
title_full | Estimating the Octanol/Water Partition Coefficient for Aliphatic Organic Compounds Using Semi-Empirical Electrotopological Index |
title_fullStr | Estimating the Octanol/Water Partition Coefficient for Aliphatic Organic Compounds Using Semi-Empirical Electrotopological Index |
title_full_unstemmed | Estimating the Octanol/Water Partition Coefficient for Aliphatic Organic Compounds Using Semi-Empirical Electrotopological Index |
title_short | Estimating the Octanol/Water Partition Coefficient for Aliphatic Organic Compounds Using Semi-Empirical Electrotopological Index |
title_sort | estimating the octanol/water partition coefficient for aliphatic organic compounds using semi-empirical electrotopological index |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3211036/ https://www.ncbi.nlm.nih.gov/pubmed/22072945 http://dx.doi.org/10.3390/ijms12107250 |
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