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.
机构:Univ Calif San Francisco, Dept Pharmaceut Chem, San Francisco, CA 94143 USA
Clauser, KR
;
Baker, P
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机构:Univ Calif San Francisco, Dept Pharmaceut Chem, San Francisco, CA 94143 USA
Baker, P
;
Burlingame, AL
论文数: 0引用数: 0
h-index: 0
机构:
Univ Calif San Francisco, Dept Pharmaceut Chem, San Francisco, CA 94143 USAUniv Calif San Francisco, Dept Pharmaceut Chem, San Francisco, CA 94143 USA
机构:Univ Calif San Francisco, Dept Pharmaceut Chem, San Francisco, CA 94143 USA
Clauser, KR
;
Baker, P
论文数: 0引用数: 0
h-index: 0
机构:Univ Calif San Francisco, Dept Pharmaceut Chem, San Francisco, CA 94143 USA
Baker, P
;
Burlingame, AL
论文数: 0引用数: 0
h-index: 0
机构:
Univ Calif San Francisco, Dept Pharmaceut Chem, San Francisco, CA 94143 USAUniv Calif San Francisco, Dept Pharmaceut Chem, San Francisco, CA 94143 USA