A Benchmark Dataset Comprising Partition and Distribution Coefficients of Linear Peptides
Author(s) -
Matthew N Davies,
Darren R. Flower
Publication year - 2013
Publication title -
dataset papers in biology
Language(s) - English
Resource type - Journals
ISSN - 2314-5307
DOI - 10.7167/2013/976758
Subject(s) - partition coefficient , quantitative structure–activity relationship , partition (number theory) , peptide , chemistry , octanol , benchmark (surveying) , benchmarking , molecule , distribution (mathematics) , biological system , computational chemistry , mathematics , stereochemistry , chromatography , organic chemistry , biology , combinatorics , mathematical analysis , biochemistry , geodesy , marketing , business , geography
Peptides have a dominant role in biology; yet the study of their physical properties is at best sporadic. Peptide quantitative structure-activity relationship (QSAR) lags far behind the QSAR analysis of drug-like organic small molecules. Traditionally, QSAR has focussed on experimentally determined partition coefficients as the main descriptor of hydrophobicity. A partition coefficient () is the ratio between the concentrations of an uncharged chemical substance in two immiscible phases: most typically water and an organic solvent, usually 1-octanol. A distribution coefficient () is the equivalent ratio for charged molecules. We report here a compilation of partition and distribution coefficients for linear peptides compiled from literature reports, suitable for the development and benchmarking of peptide and prediction algorithms.
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