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tsORFdb: Theoretical Small Open Reading Frames (ORFs) database and massProphet: Peptide Mass Fingerprinting (PMF) tool for unknown small functional ORFs
Authors:Hyoung-Sam Heo  Sanghyuk Lee  Yeon Ja Choi  S June Oh
Institution:a Interdisciplinary Research Program of Bioinformatics, College of Natural Science, Pusan National University, Gumjung-gu, Busan 609-735, Republic of Korea
b Department of Pharmacy, College of Pharmacy and Molecular Inflammation Research Center for Aging Intervention, Pusan National University, Gumjung-gu, Busan 609-735, Republic of Korea
c Division of Life and Pharmaceutical Sciences, Ewha Womans University, 11-1 Daehyun-dong, Seodaemun-gu, Seoul 120-750, Republic of Korea
d Department of Pharmacology, College of Medicine and UHRC, Inje University, Gaegum2-dong, Busanjin-gu, Busan 614-735, Republic of Korea
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.
Keywords:Bioinformatics  Database  ORFeomics  Peptide Mass Fingerprinting  Proteomics  sORFs (Small Open Reading Frames)
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