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PMID: 14695901 Published · ppublish English Comparative Study Journal Article

The power and the limitations of cross-species protein identification by mass spectrometry-driven sequence similarity searches.

Molecular & cellular proteomics : MCP ·Vol. 3 ·No. 3 ·2004-03-00 ·Pages 238-49

Habermann B, Oegema J, Sunyaev S, Shevchenko A

Abstract

Mass spectrometry-driven BLAST (MS BLAST) is a database search protocol for identifying unknown proteins by sequence similarity to homologous proteins available in a database. MS BLAST utilizes redundant, degenerate, and partially inaccurate peptide sequence data obtained by de novo interpretation of tandem mass spectra and has become a powerful tool in functional proteomic research. Using computational modeling, we evaluated the potential of MS BLAST for proteome-wide identification of unknown proteins. We determined how the success rate of protein identification depends on the full-length sequence identity between the queried protein and its closest homologue in a database. We also estimated phylogenetic distances between organisms under study and related reference organisms with completely sequenced genomes that allow substantial coverage of unknown proteomes.

MeSH Terms
Animals Computer Simulation Databases, Factual Humans Models, Theoretical Peptide Mapping Power, Psychological Proteome/chemistry Proteomics/methods Sequence Analysis, Protein/methods Software Species Specificity Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
Chemicals
Proteome
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Habermann Bianca
Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstrasse 108, 01307 Dresden, Germany. habermann@mpi-cbg.de
Oegema Jeffrey
Sunyaev Shamil
Shevchenko Andrej
Article Info
Journal
Molecular & cellular proteomics : MCP
Abbr.
Mol Cell Proteomics
ISSN
1535-9476
Published
2004-03-00
Epub
2003-00-26
Pages
238-49
Language
English
Region
United States
NLM ID
101125647
Subset
IM
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