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

作者：Niu Weihuan; Xia Qingyou; Liang Guizhao

来源：Protein and Peptide Letters, 2010, 17(5): 591-598.

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

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.

• 出版日期2010-5
• 单位重庆大学