Faculty Collaboration Database

Peptide identification using peptide amino acid attribute vectors. J Proteome Res 2004;3(4):813-20

Date

09/14/2004

Pubmed ID

15359736

DOI

10.1021/pr0499444

Scopus ID

2-s2.0-4444251125 (requires institutional sign-in at Scopus site)   7 Citations

Abstract

We describe the theoretical basis for a peptide identification method wherein peptides are represented as vectors based on their amino acid composition and grouped into clusters. Unknown peptides are identified by finding the database cluster and peptide entries with the shortest Euclidian distance. We demonstrate that the amino acid composition of peptides is virtually as informative as the sequence and allows rapid peptide identification more accurately than peptide mass alone.

Author List

Halligan BD, Dratz EA, Feng X, Twigger SN, Tonellato PJ, Greene AS

MESH terms used to index this publication - Major topics in bold

Algorithms
Animals
Computational Biology
Humans
Peptides
Proteins
Proteomics
Rats
Sequence Analysis, Protein