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Updated: Jun 13, 2026

Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions
Published on: January 26, 2024
A multi-scale parameterization approach of peptides for quantitative sequence-activity models
Weihuan Niu1, Qingyou Xia, Guizhao Liang
1Key Laboratory of Biorheological Science and Technology (Chongqing University), Ministry of Education, Bioengineering college, Chongqing University, Chongqing, China.
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.
