Publication | Closed Access
Large-Scale Unrestricted Identification of Post-Translation Modifications Using Tandem Mass Spectrometry
45
Citations
13
References
2007
Year
GeneticsBiological Mass SpectrometryMolecular BiologyTranslational AdvanceBioanalysisPlasma ProteomicsAnalytical ChemistryError RateProteomicsTandem Mass SpectraBiochemistryOmicsMetabolomicsFunctional GenomicsBioinformaticsProtein BioinformaticsNatural SciencesOmics DatasetsMass SpectrometryProtein Mass SpectrometryNative Mass SpectrometrySystems BiologyMedicineLarge-scale Unrestricted IdentificationReference Protein DatabaseHigh-throughput Screening
TwinPeaks, a close variant of the SEQUEST protein identification algorithm, is capable of unrestricted, large-scale, identification of post-translation modifications (PTMs). TwinPeaks is applied on a sample of 100441 tandem mass spectra from the HUPO Plasma Proteome Project data set, with full non-redundant human as a reference protein database. With a 3.5% error rate, TwinPeaks identifies a collection of 539 spectra that were not identified by the usual PTM-restricted identification algorithm. At this error rate, TwinPeaks increases the rate of spectra identifications by at least 17.6%, making unrestricted PTM identification an integral part of proteomics.
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