title: ProFound: an expert system for protein identification using mass spectrometric peptide mapping information.
abstract: 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.
authors.affiliation: The Rockefeller University, New York, New York 10021, USA. zhangw@rockvax.rockefeller.edu
authors.forename: W
authors.initials: W
authors.lastname: Zhang
authors.forename: B T
authors.initials: BT
authors.lastname: Chait
mesh_terms: D000465:Algorithms; D001499:Bayes Theorem; D005103:Expert Systems; D009682:Magnetic Resonance Spectroscopy; D010449:Peptide Mapping / Q000379:methods; D011506:Proteins / Q000737:chemistry*; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
chemical_list: D011506:Proteins