Journal
NATURE METHODS
Volume 17, Issue 11, Pages 1133-+Publisher
NATURE PORTFOLIO
DOI: 10.1038/s41592-020-00985-5
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Funding
- National Institute of Health (NIH) [R35 GM126914, R01 CA200423]
- Howard Hughes Medical Institute
- NIH Predoctoral to Postdoctoral Transition Award [K00 CA212454-03]
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We report O-Pair Search, an approach to identify O-glycopeptides and localize O-glycosites. Using paired collision- and electron-based dissociation spectra, O-Pair Search identifies O-glycopeptides via an ion-indexed open modification search and localizes O-glycosites using graph theory and probability-based localization. O-Pair Search reduces search times more than 2,000-fold compared to current O-glycopeptide processing software, while defining O-glycosite localization confidence levels and generating more O-glycopeptide identifications. Beyond the mucin-type O-glycopeptides discussed here, O-Pair Search also accepts user-defined glycan databases, making it compatible with many types of O-glycosylation. O-Pair Search is freely available within the open-source MetaMorpheus platform at https://github.com/smith-chem-wisc/MetaMorpheus..
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