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

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

Volume: 17 Issue: 5

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

Affiliation:

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)

Abstract: 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.

Cite this article as:

Niu Weihuan, Xia Qingyou and Liang Guizhao, A Multi-Scale Parameterization Approach of Peptides for Quantitative Sequence-Activity Models, Protein & Peptide Letters 2010; 17 (5) . https://dx.doi.org/10.2174/092986610791112738