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Multivariate analysis of hydrophobic descriptors

URN to cite this document:
urn:nbn:de:bvb:355-epub-297549
Dove, Stefan
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Date of publication of this fulltext: 04 Apr 2014 12:46


Abstract

Multivariate approaches like principal component analysis (PCA) are powerful tools to investigate hydrophobic descriptors and to discriminate between intrinsic hydrophobicity and polar contributions as hydrogen bonds and other electronic effects. PCA of log P values measured for 37 solutes in eight solvent-water systems and of hydrophobic octanol-water substituent constants pi for 25 meta- and ...

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