Cited by 51Mass Spectrometry Techniques and ApplicationsProtein Structure and DynamicsAdvanced Proteomics Techniques and Applications

Conformational Characterization and Classification of Intrinsically Disordered Proteins by Native Mass Spectrometry and Charge‐State Distribution Analysis

Santambrogio, Carlo, Natalello, Antonino, Brocca, Stefania, Ponzini, Erika, Grandori, Rita·2019·PROTEOMICS

Abstract

Intrinsically disordered proteins (IDPs) are systematically under‐represented in structural proteomics studies. Their structural characterization implies description of the dynamic conformational ensembles populated by these polymers in solution, posing major challenges to biophysical methods. “Native” MS (native‐MS) has emerged as a central tool in this field, conjugating the unique MS analytical power with structurally meaningful descriptors, like solvent‐accessible surface area (SASA) and collisional cross section (CCS). This review summarizes recently published papers comparing native‐MS and solution methods, with a focus on charge‐state‐distribution (CSD) analysis for IDP conformational analysis. The results point to substantial agreement, supporting structural interpretation of native‐MS spectra of IDPs. The discussion is integrated with data from our group on “synthetic” IDPs, obtained by reduction and alkylation of natively folded proteins, whose fold is stabilized by disulfide bridges. Finally, an MS‐based compaction index (CI) is introduced, evaluating SASA with reference to globular and fully disorder proteins. Such a parameter can be calculated for single conformers or the whole conformational ensemble, offering a continuous index for IDP comparison and classification.

Integrity signals

Registry

Crossref · 10.1002/pmic.201800060

Cites

71 of 71 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Disordered proteins and regions are characterized by broad and heterogeneous ensembles with small differences in relative conformational stabilities and low barriers.

    “Disordered proteins (regions) are characterized by broad and heterogeneous ensembles where the differences in the relative conformational stabilities are small, or even minor and the barriers are low.”

    From AlphaFold, Artificial Intelligence (AI), and Allostery (2022) · cites this paper as [129]

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Santambrogio, C., Natalello, A., Brocca, S., Ponzini, E., & Grandori, R.
Affiliations
University of Milano-Bicocca (IT)
Corresponding author
Grandori, Rita
Venue
PROTEOMICS
Publisher
Wiley
Published
2018-11-29
Volume
19
Issue
6
Pages
e1800060-e1800060
ISSN
  • 1615-9853 (ISSN-L)
  • 1615-9861
OpenAlex
W2898567411
Cited by
51
References
71
Citations by year
2026: 5 · 2025: 7 · 2024: 2 · 2023: 7 · 2022: 12 · 2021: 8 · 2020: 5 · 2019: 5
FWCI
0.57
Type
journal article
Language
en
Open access
closed
Locations
  • PROTEOMICS (publishedVersion)
  • PubMed (publishedVersion)
  • BOA (University of Milano-Bicocca) (submittedVersion)
Funders
COST action (BM1403)
Topics
  • Physical Sciences › Chemistry › Spectroscopy › Mass Spectrometry Techniques and Applications
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
  • Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
Keywords
intrinsically disordered proteins, native mass spectrometry, conformational ensembles, solvent accessible surface area, collision cross sections, compaction index, protein classification
MeSH terms
Animals, Humans, Protein Conformation, Protein Folding, Spectrometry, Mass, Electrospray Ionization, Proteomics, Intrinsically Disordered Proteins

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review