Evidence map›Paper›PMID 41529957›Full record

ArticleJournal of proteome research2026

A New Detailed Mass Offset Search in MSFragger for Improved Interpretation of Complex PTMs.

Carolina Rojas Ramírez, Fengchao Yu, Daniel A Polasky, Alexey I Nesvizhskii

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Carolina Rojas RamírezDepartment of Pathology, University of Michigan, Ann Arbor, Michigan 48109, United States.ORCID 0000-0002-2085-0577
Fengchao YuDepartment of Pathology, University of Michigan, Ann Arbor, Michigan 48109, United States.ORCID 0000-0002-7695-3698
Daniel A PolaskyDepartment of Pathology, University of Michigan, Ann Arbor, Michigan 48109, United States.ORCID 0000-0002-0515-1735
Alexey I NesvizhskiiDepartment of Pathology, University of Michigan, Ann Arbor, Michigan 48109, United States.ORCID 0000-0002-2806-7819

Funding

COMPUTATIONAL TOOLS FOR MASS SPECTROMETRY-BASED INTERACTOME DATAR01GM094231 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Alexey I Nesvizhskii · 2010 to 2026
$5.4M
Michigan Center for Translational Cancer Proteogenomics-Diversity SupplementU24CA271037 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Saravana Mohan Dhanasekaran, Alexey I Nesvizhskii · 2022 to 2026
$4.4M
NCI NIH HHS U24 CA271037NIGMS NIH HHS R01 GM094231
6 · The paper itself

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.

Indexed as

Protein Processing, Post-TranslationalProteomicsSearch EngineSoftwareDatabases, ProteinOxidation-ReductionProteinsTandem Mass SpectrometryProteinsdatabase searchmass offsetopen searchproteomicsPTMssoftware

Identifiers

PMID41529957
PMCPMC13137378

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.