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http://purl.uniprot.org/citations/16964243http://www.w3.org/1999/02/22-rdf-syntax-ns#typehttp://purl.uniprot.org/core/Journal_Citation
http://purl.uniprot.org/citations/16964243http://www.w3.org/1999/02/22-rdf-syntax-ns#typehttp://purl.uniprot.org/core/Journal_Citation
http://purl.uniprot.org/citations/16964243http://www.w3.org/2000/01/rdf-schema#comment"Data analysis and interpretation remain major logistical challenges when attempting to identify large numbers of protein phosphorylation sites by nanoscale reverse-phase liquid chromatography/tandem mass spectrometry (LC-MS/MS) (Supplementary Figure 1 online). In this report we address challenges that are often only addressable by laborious manual validation, including data set error, data set sensitivity and phosphorylation site localization. We provide a large-scale phosphorylation data set with a measured error rate as determined by the target-decoy approach, we demonstrate an approach to maximize data set sensitivity by efficiently distracting incorrect peptide spectral matches (PSMs), and we present a probability-based score, the Ascore, that measures the probability of correct phosphorylation site localization based on the presence and intensity of site-determining ions in MS/MS spectra. We applied our methods in a fully automated fashion to nocodazole-arrested HeLa cell lysate where we identified 1,761 nonredundant phosphorylation sites from 491 proteins with a peptide false-positive rate of 1.3%."xsd:string
http://purl.uniprot.org/citations/16964243http://purl.org/dc/terms/identifier"doi:10.1038/nbt1240"xsd:string
http://purl.uniprot.org/citations/16964243http://purl.org/dc/terms/identifier"doi:10.1038/nbt1240"xsd:string
http://purl.uniprot.org/citations/16964243http://purl.uniprot.org/core/author"Beausoleil S.A."xsd:string
http://purl.uniprot.org/citations/16964243http://purl.uniprot.org/core/author"Beausoleil S.A."xsd:string
http://purl.uniprot.org/citations/16964243http://purl.uniprot.org/core/author"Gygi S.P."xsd:string
http://purl.uniprot.org/citations/16964243http://purl.uniprot.org/core/author"Gygi S.P."xsd:string
http://purl.uniprot.org/citations/16964243http://purl.uniprot.org/core/author"Gerber S.A."xsd:string
http://purl.uniprot.org/citations/16964243http://purl.uniprot.org/core/author"Gerber S.A."xsd:string
http://purl.uniprot.org/citations/16964243http://purl.uniprot.org/core/author"Rush J."xsd:string
http://purl.uniprot.org/citations/16964243http://purl.uniprot.org/core/author"Rush J."xsd:string
http://purl.uniprot.org/citations/16964243http://purl.uniprot.org/core/author"Villen J."xsd:string
http://purl.uniprot.org/citations/16964243http://purl.uniprot.org/core/author"Villen J."xsd:string
http://purl.uniprot.org/citations/16964243http://purl.uniprot.org/core/date"2006"xsd:gYear
http://purl.uniprot.org/citations/16964243http://purl.uniprot.org/core/date"2006"xsd:gYear
http://purl.uniprot.org/citations/16964243http://purl.uniprot.org/core/name"Nat. Biotechnol."xsd:string
http://purl.uniprot.org/citations/16964243http://purl.uniprot.org/core/name"Nat. Biotechnol."xsd:string
http://purl.uniprot.org/citations/16964243http://purl.uniprot.org/core/pages"1285-1292"xsd:string
http://purl.uniprot.org/citations/16964243http://purl.uniprot.org/core/pages"1285-1292"xsd:string
http://purl.uniprot.org/citations/16964243http://purl.uniprot.org/core/title"A probability-based approach for high-throughput protein phosphorylation analysis and site localization."xsd:string
http://purl.uniprot.org/citations/16964243http://purl.uniprot.org/core/title"A probability-based approach for high-throughput protein phosphorylation analysis and site localization."xsd:string
http://purl.uniprot.org/citations/16964243http://purl.uniprot.org/core/volume"24"xsd:string
http://purl.uniprot.org/citations/16964243http://purl.uniprot.org/core/volume"24"xsd:string