Improving peptide identification with single-stage mass spectrum peaks | Zendy

Zengyou He | Zendy; Weichuan Yu | Zendy

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Improving peptide identification with single-stage mass spectrum peaks

Author(s) -

Zengyou He,

Weichuan Yu

Publication year - 2009

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btp501

Subject(s) - computer science , identification (biology) , ranking (information retrieval) , shotgun proteomics , rank (graph theory) , database search engine , data mining , tandem mass spectrometry , peptide mass fingerprinting , mass spectrometry , proteomics , search engine , information retrieval , mathematics , chemistry , chromatography , biology , biochemistry , botany , combinatorics , gene

Database searching is the major peptide identification method in shotgun proteomics. It searches tandem mass spectrometry (MS/MS) spectra against a protein database to identify target peptides. The success of such a database searching method relies on a scoring algorithm that can evaluate the quality of peptide-spectrum matches (PSMs) accurately. However, current scoring algorithms frequently generate inaccurate assignments due to variations and noises in the MS/MS spectra. To address this issue, we like to improve peptide identification by using additional information from other data sources.

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