title: A proteomic tool for protein identification from tandem mass spectral data.
abstract: Instead of using the probability mean, a simple and yet effective heuristic approach was employed to treat experimentally obtained tandem mass spectrometry (MS/MS) data for protein identification. The proposed approach is based on the total number (T) of identified experimental MS/MS data. To warrant the subsequent ranking, the total number of identified b- and y-type ions (Tb+y) must be greater than 50% of T. Peptides having the same T and Tb+y are either ranked by the contiguity of identified ions or discarded during identification. When compared to other protein identification tools, good agreement with the searched results was seen.
authors.affiliation: Department of Chemical Engineering, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.
authors.forename: Yupeng
authors.initials: Y
authors.lastname: Zhao
authors.forename: Yen-Han
authors.initials: YH
authors.lastname: Lin
mesh_terms: D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D030562:Databases, Protein; D020407:Internet; D013058:Mass Spectrometry / Q000379:methods*; D010455:Peptides / Q000737:chemistry; D011506:Proteins / Q000737:chemistry; D040901:Proteomics / Q000379:methods*; D012984:Software
chemical_list: D010455:Peptides; D011506:Proteins