iMOWSE, a scoring scheme bridging in silico and in vitro digestion in PMF

We demonstrated an unexplored issue in Peptide Mass Fingerprinting, 'cleavage site clusters', and formulated iMOWSE to distinguish true positives from false positives. We showed how the cleavage site clusters skew peptide database composition. Concerning the information content of an in si...

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Bibliographic Details
Published inInternational journal of data mining and bioinformatics Vol. 6; no. 1; p. 104
Main Authors Leung, Ross K K, Tsui, Stephen K W
Format Journal Article
LanguageEnglish
Published Switzerland 2012
Subjects
Algorithms
Cluster Analysis
Peptide Mapping - methods
Peptides - chemistry
Proteins - chemistry
Software
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Summary:We demonstrated an unexplored issue in Peptide Mass Fingerprinting, 'cleavage site clusters', and formulated iMOWSE to distinguish true positives from false positives. We showed how the cleavage site clusters skew peptide database composition. Concerning the information content of an in silico digestion of a protein, both the number of matches of long peptides and the number of such peptides an entry can generate are taken into account. The resultant iMOWSE allows tolerance of deviation of query mass values from theoretical mass values and fewer matches are needed to identify true positives.
ISSN:1748-5673
DOI:10.1504/IJDMB.2012.045543