A descriptor of amino acids: SVRG and its application to peptide quantitative structure-activity relationship.

Abstract:

:In this work, a descriptor, SVRG (principal component scores vector of radial distribution function descriptors and geometrical descriptors), was derived from principal component analysis (PCA) of a matrix of two structural variables of coded amino acids, including radial distribution function index (RDF) and geometrical index. SVRG scales were then applied in three panels of peptide quantitative structure-activity relationships (QSARs) which were modelled by partial least squares regression (PLS). The obtained models with the correlation coefficient (R²(cum)), cross-validation correlation coefficient (Q²(LOO)) were 0.910 and 0.863 for 48 bitter-tasting dipeptides; 0.968 and 0.931 for 21 oxytocin analogues; and 0.992 and 0.954 for 20 thromboplastin inhibitors. Satisfactory results showed that SVRG contained much chemical information relating to bioactivities. The approach may be a useful structural expression methodology for studies on peptide QSAR.

journal_name

SAR QSAR Environ Res

authors

Tong J,Che T,Li Y,Wang P,Xu X,Chen Y

doi

10.1080/1062936X.2011.604099

subject

Has Abstract

pub_date

2011-07-01 00:00:00

pages

611-20

issue

5-6

eissn

1062-936X

issn

1029-046X

journal_volume

22

pub_type

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