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tsORFdb: Theoretical Small Open Reading Frames (ORFs) database and massProphet: Peptide Mass Fingerprinting (PMF) tool for unknown small functional ORFs

Title
tsORFdb: Theoretical Small Open Reading Frames (ORFs) database and massProphet: Peptide Mass Fingerprinting (PMF) tool for unknown small functional ORFs
Authors
Heo H.-S.Lee S.Kim J.M.Choi Y.J.Chung H.Y.June Oh S.
Ewha Authors
이상혁
SCOPUS Author ID
이상혁scopus
Issue Date
2010
Journal Title
Biochemical and Biophysical Research Communications
ISSN
0006-291XJCR Link
Citation
vol. 397, no. 1, pp. 120 - 126
Indexed
SCI; SCIE; SCOPUS WOS scopus
Abstract
Peptide mass fingerprinting (PMF) has become one of the most widely used methods for rapid identification of proteins in proteomics research. Many peaks, however, remain unassigned after PMF analysis, partly because of post-translational modification and the limited scope of protein sequences. Almost all PMF tools employ only known or predicted protein sequences and do not include open reading frames (ORFs) in the genome, which eliminates the chance of finding novel functional peptides. Unlike most tools that search protein sequences from known coding sequences, the tool we developed uses a database for theoretical small ORFs (tsORFs) and a PMF application using a tsORFs database (tsORFdb). The tsORFdb is a database for ORFeome that encompasses all potential tsORFs derived from whole genome sequences as well as the predicted ones. The massProphet system tries to extend the search scope to include the ORFeome using the tsORFdb. The tsORFdb and massProphet should be useful for proteomics research to give information about unknown small ORFs as well as predicted and registered proteins. © 2010 Elsevier Inc. All rights reserved.
DOI
10.1016/j.bbrc.2010.05.093
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자연과학대학 > 생명과학전공 > Journal papers
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