ProFound: An Expert System for Protein Identification Using Mass Spectrometric Peptide Mapping Information
Analytical Chemistry2000Vol. 72(11), pp. 2482–2489
Citations Over TimeTop 1% of 2000 papers
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.
Related Papers
- → Antibacterial Peptides of Bovine Lactoferrin: Purification and Characterization(1997)164 cited
- → Improving Mass and Liquid Chromatography Based Identification of Proteins Using Bayesian Scoring(2005)14 cited
- → Thin-layer techniques for making peptide maps(1964)76 cited
- → Identification of proteins of the yeast protein map using genetically manipulated strains and peptide-mass fingerprinting.(1996)25 cited
- → A rapid nonradioactive peptide phosphorylation assay(2003)3 cited