Journal
ANALYTICAL CHEMISTRY
Volume 72, Issue 11, Pages 2482-2489Publisher
AMER CHEMICAL SOC
DOI: 10.1021/ac991363o
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Funding
- NCRR NIH HHS [RR00862] Funding Source: Medline
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We describe the protein search engine ProFound, which employs a Bayesian algorithm to identify proteins from protein databases using mass spectrometric peptide mapping data. The algorithm ranks protein candidates by taking into account individual properties of each protein in the database as well as other information relevant to the peptide mapping experiment. The program consistently identifies the correct protein(s) even when the data quality is relatively low or when the sample consists of a simple mixture of proteins. Illustrative examples of protein identifications are provided.
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