ProFound: an expert system for protein identification using mass spectrometric peptide mapping information

W Zhang, BT Chait - Analytical chemistry, 2000 - ACS Publications
W Zhang, BT Chait
Analytical chemistry, 2000ACS Publications
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 …
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.
ACS Publications