ArticleJournal of proteome research2026
A New Detailed Mass Offset Search in MSFragger for Improved Interpretation of Complex PTMs.
Article in Journal of proteome research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Global Profiling of Post-Translationally Modified Crustacean Neuropeptidome Trends Affiliated with Feeding Activity.Journal of the American Society for Mass Spectrometry · 2026Article
- Breaking Boundaries in Histone Modification MS-Based Detection: A Tailored Search Strategy for Unrestricted Identification of Novel Epigenetic Marks.Molecular & cellular proteomics : MCP · 2025Article
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4 authors.
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Abstract
Conventional database search methods for proteomics struggle when tasked with identifying dozens or hundreds of modifications simultaneously. Open or error-tolerant searches can address this limitation but at the cost of increased difficulty in downstream interpretation of the results and quantification. We and others have previously described "mass offset" or multinotch searches that sit in between closed and open searches, allowing simultaneous search for hundreds of modifications with more straightforward downstream interpretation than open search. The original mass offset searches were closer to the open search, lacking the ability to restrict modifications to specific amino acids. Here, we describe a new "detailed" mass offset (DMO) search implemented in the MSFragger search engine, which allows each mass offset to have its own site restrictions and fragmentation rules. The benefits of the DMO search over existing mass offset searches are shown with three example searches of complex modification sets: nearly one hundred post-translational modifications, fast photochemical oxidation of proteins (FPOP)-derived modifications, and amino acid substitutions. The DMO search further improves the interpretability of results by reducing ambiguity in site localization, particularly when modifications have overlapping masses, and provides benefits that scale with the complexity of the search.
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