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Estimating the Octanol/water Partition Coefficient for Aliphatic Organic Compounds Using Semi-empirical Electrotopological Index

Overview
Journal Int J Mol Sci
Publisher MDPI
Date 2011 Nov 11
PMID 22072945
Citations 8
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Abstract

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.

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References
1.
Ren B . Novel atomic-level-based AI topological descriptors: application to QSPR/QSAR modeling. J Chem Inf Comput Sci. 2002; 42(4):858-68. DOI: 10.1021/ci020362l. View

2.
Souza E, Kuhnen C, Junkes B, Yunes R, Heinzen V . Quantitative structure-retention relationship modelling of esters on stationary phases of different polarity. J Mol Graph Model. 2009; 28(1):20-7. DOI: 10.1016/j.jmgm.2009.03.003. View

3.
Ghose A, Crippen G . Atomic physicochemical parameters for three-dimensional-structure-directed quantitative structure-activity relationships. 2. Modeling dispersive and hydrophobic interactions. J Chem Inf Comput Sci. 1987; 27(1):21-35. DOI: 10.1021/ci00053a005. View

4.
Mannhold R, van de Waterbeemd H . Substructure and whole molecule approaches for calculating log P. J Comput Aided Mol Des. 2001; 15(4):337-54. DOI: 10.1023/a:1011107422318. View

5.
Liu F, Cao C, Cheng B . A Quantitative Structure-Property Relationship (QSPR) Study of aliphatic alcohols by the method of dividing the molecular structure into substructure. Int J Mol Sci. 2011; 12(4):2448-62. PMC: 3127127. DOI: 10.3390/ijms12042448. View