Web Release Date: December 6,
Probity: A Protein Identification Algorithm with Accurate Assignment of the Statistical Significance of the Results
and
Department of Chemistry, Swedish University of Agricultural Sciences, Box 7015, S-750 07, Uppsala, Sweden, Amersham Biosciences, 800 Centennial Avenue, Piscataway, New Jersey 08855, and The Rockefeller University, 1230 York Avenue, New York, New York 10021
Received July 4, 2003
Abstract:
An algorithm for protein identification based on mass spectrometric proteolytic peptide mapping and genome database searching is presented. The algorithm ranks database proteins based on direct calculation of the probability of random matching and assigns the statistical significance to each result. We investigate the performance of the algorithm by simulation and show that the algorithm responds to random data in the desired manner and that the statistical significance computed indicates the risk that a particular identification result is false.
Keywords: protein identification 
algorithm bioinformatics mass spectrometry proteomics protein
peptide peptide mapping significance testing simulation
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