Evidence map›Paper›PMID 41422403›Full record

ArticleJournal of the American Society for Mass Spectrometry2026

Large Data Set Analysis Reveals Structural Origin of Peptide Collisional Cross Section Bimodal Behavior.

Allyn M Xu, Dániel Szöllősi, Helmut Grubmüller, Oded Regev

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Allyn M XuComputer Science Department, Courant Institute of Mathematical Sciences, New York University, New York, New York 10012, United States.ORCID 0009-0006-3138-3042
Dániel SzöllősiDepartment of Theoretical and Computational Biophysics, Max Planck Institute for Multidisciplinary Sciences, Göttingen 37077, Germany.
Helmut GrubmüllerDepartment of Theoretical and Computational Biophysics, Max Planck Institute for Multidisciplinary Sciences, Göttingen 37077, Germany.ORCID 0000-0002-3270-3144
Oded RegevComputer Science Department, Courant Institute of Mathematical Sciences, New York University, New York, New York 10012, United States.ORCID 0000-0002-8616-3163

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advances in ion mobility spectrometry have enabled the measurement of rotationally averaged collisional cross-sectional area (CCS) for millions of peptides as part of routine proteomic mass spectrometry workflows. One of the most striking findings in recent large ion mobility data sets is that CCS exhibits two distinct modes, most notably for charge 3

Indexed as

Ion Mobility SpectrometryMass SpectrometryPeptidesAmino Acid SequenceMachine LearningMolecular Dynamics SimulationProtein ConformationProteomicsPeptidescollisional cross sectionion mobility spectrometrymachine learningpeptide conformation

Identifiers

PMID41422403
PMCPMC12784393

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.