MS-WHIM Scores for Amino Acids:  A New 3D-Description for Peptide QSAR and QSPR Studies

Abstract

Several descriptors applied to peptide structure−activity and/or structure−property relationships have been developed in recent years. This report describes new descriptors for the natural amino acids which have been derived from the principal component analysis (PCA) applied on the MS-WHIM 3D-description matrices. MS-WHIM indexes are a collection of 36 statistical indexes aimed at extracting and condensing steric and electrostatic 3D-properties of a molecule. These new descriptors have been developed both on extended side-chain conformation and on rotamer library of natural amino acids. The method appeared to be more potent when describing a single conformation ( i.e . extended) than when applied collectively on library conformation families. MS-WHIM scores, however, were shown to efficacely describe and correctly classify the natural amino acid features and to provide sound statistical models either predicting activities of two peptide sets taken as a test or correlating amino acid chemicophysical properties, like water-accessible surface area, to general structural features of amino acids.