Verification of automated peptide identifications from proteomic tandem mass spectra
- 14 December 2006
- journal article
- research article
- Published by Springer Nature in Nature Protocols
- Vol. 1 (5) , 2213-2222
- https://doi.org/10.1038/nprot.2006.330
Abstract
Shotgun proteomics yields tandem mass spectra of peptides that can be identified by database search algorithms. When only a few observed peptides suggest the presence of a protein, establishing the accuracy of the peptide identifications is necessary for accepting or rejecting the protein identification. In this protocol, we describe the properties of peptide identifications that can differentiate legitimately identified peptides from spurious ones. The chemistry of fragmentation, as embodied in the 'mobile proton' and 'pathways in competition' models, informs the process of confirming or rejecting each spectral match. Examples of ion-trap and tandem time-of-flight (TOF/TOF) mass spectra illustrate these principles of fragmentation.Keywords
This publication has 57 references indexed in Scilit:
- Topical clindamycin in the management of acne vulgarisExpert Opinion on Pharmacotherapy, 2007
- Comparison of taurine chloramine and taurine bromamine effects on rheumatoid arthritis synoviocytesAmino Acids, 2006
- DBParser: Web-Based Software for Shotgun Proteomic Data AnalysesJournal of Proteome Research, 2004
- Potential for False Positive Identifications from Large Databases through Tandem Mass SpectrometryJournal of Proteome Research, 2004
- Taurine chloramine and taurine bromamine induce heme oxygenase-1 in resting and LPS-stimulated J774.2 macrophagesAmino Acids, 2004
- Statistical and Mechanistic Approaches to Understanding the Gas-Phase Fragmentation Behavior of Methionine Sulfoxide Containing PeptidesJournal of Proteome Research, 2004
- Inflammatory Events Are Involved in Acne Lesion InitiationJournal of Investigative Dermatology, 2003
- Empirical Statistical Model To Estimate the Accuracy of Peptide Identifications Made by MS/MS and Database SearchAnalytical Chemistry, 2002
- Probability-based protein identification by searching sequence databases using mass spectrometry dataElectrophoresis, 1999
- An approach to correlate tandem mass spectral data of peptides with amino acid sequences in a protein databaseJournal of the American Society for Mass Spectrometry, 1994