Protein-fingerprint data mining of a designed alpha-helical peptide array

Kenji Usui; Kin-ya Tomizaki; Hisakazu Mihara

doi:10.1039/b608875a

Protein-fingerprint data mining of a designed alpha-helical peptide array

Mol Biosyst. 2006 Sep;2(9):417-20. doi: 10.1039/b608875a.

Authors

Kenji Usui¹, Kin-ya Tomizaki, Hisakazu Mihara

Affiliation

¹ Department of Bioengineering, Graduate School of Bioscience and Biotechnology, Tokyo Institute of Technology, Nagatsuta-cho 4259 B-40, Midori-ku, Yokohama, 226-8501, Japan.

PMID: 17153138
DOI: 10.1039/b608875a

Abstract

The data generated from protein fingerprints with an alpha-helical peptide array were analyzed using several statistical methods such as hierarchical clustering analysis and principal component analysis to discriminate target proteins.

MeSH terms

Amino Acid Sequence
Cluster Analysis
Molecular Sequence Data
Peptide Mapping / methods*
Peptides / chemistry*
Principal Component Analysis
Protein Array Analysis / methods*
Protein Structure, Secondary

Substances

Peptides