Generic placeholder image

Protein & Peptide Letters


ISSN (Print): 0929-8665
ISSN (Online): 1875-5305

A Multi-Scale Parameterization Approach of Peptides for Quantitative Sequence-Activity Models

Author(s): Weihuan Niu, Qingyou Xia and Guizhao Liang

Volume 17, Issue 5, 2010

Page: [591 - 598] Pages: 8

DOI: 10.2174/092986610791112738

Price: $65


A multi-scale parameterization approach, factor analysis scales of generalized amino acid information combined with auto cross covariance, was used to develop quantitative sequence-activity models of peptides using support vector machines. The results demonstrated that this approach could well characterize sequence features of the peptides studied.

Keywords: Factor analysis scales of generalized amino acid information (FASGAI), auto cross covariance (ACC), FASGAI-ACC, quantitative sequence-activity model (QSAM), support vector machines (SVM)

Rights & Permissions Print Export Cite as
© 2023 Bentham Science Publishers | Privacy Policy