A multi-scale parameterization approach of peptides for quantitative sequence-activity models.
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.
Niu
Weihuan
W
Key Laboratory of Biorheological Science and Technology (Chongqing University), Ministry of Education, Bioengineering college, Chongqing University, Chongqing, China.
Xia
Qingyou
Q
Liang
Guizhao
G
D000465:Algorithms; D000595:Amino Acid Sequence; D055598:Chemical Phenomena; D002846:Chromatography, Affinity; D019295:Computational Biology / Q000379:methods*; D006801:Humans; D007093:Imidazoles; D009419:Nerve Tissue Proteins / Q000737:chemistry; D010455:Peptides / Q000737:chemistry*; D025941:Protein Interaction Mapping / Q000379:methods*; D021281:Quantitative Structure-Activity Relationship; D015203:Reproducibility of Results; D018909:src Homology Domains
D007093:Imidazoles; D009419:Nerve Tissue Proteins; D010455:Peptides; C075637:amphiphysin; C029899:imidazole