Evidence map›Paper›PMID 38581471›Full record

ArticleJournal of the American Society for Mass Spectrometry2024

Proteins Can Withstand More Extensive Labeling while Providing Accurate Structural Information in Covalent Labeling-Mass Spectrometry.

Zachary J Kirsch, Richard W Vachet

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.2field-weighted citation impact, top 13% of its field
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

7 citing papers in PubMed, 9 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Zachary J KirschDepartment of Chemistry, University of Massachusetts Amherst, Amherst, Massachusetts 01003, United States.ORCID 0000-0001-7788-6223
Richard W VachetDepartment of Chemistry, University of Massachusetts Amherst, Amherst, Massachusetts 01003, United States.ORCID 0000-0003-4514-0210
University of Massachusetts Amherst · US

Funding

Protein Amyloid Formation and Inhibition Studied by Mass SpectrometryR35GM145272 · NIGMS · UNIVERSITY OF MASSACHUSETTS AMHERST · PI RICHARD W VACHET · 2022 to 2026
$2.0M
Acquisition of an Orbitrap MSS10OD010645 · OD · UNIVERSITY OF MASSACHUSETTS AMHERST · PI EYLES, STEPHEN J. · 2013 to 2013
$600k
NIGMS NIH HHS R35 GM145272NIH HHS S10 OD010645
6 · The paper itself

Abstract

Diethylpyrocarbonate (DEPC) covalent labeling-mass spectrometry (CL-MS) has been extensively utilized to study protein structure and interactions owing to its ease of use, commercial availability, and broad labeling of nucleophilic residues. During typical CL-MS experiments with DEPC, the extent of labeling is kept low to avoid any structural perturbations resulting from covalent modification of the protein. In this study, we demonstrate that proteins can be labeled more extensively via DEPC and still provide accurate structural information. To show this, we modeled labeling kinetics over a range of DEPC concentrations and used molecular dynamics simulations to investigate the molecular-level effects of extensive labeling on the protein structure. Our results indicate that higher extents of DEPC labeling do not significantly perturb the protein structure and can lead to improved precision, detectability of labeled peptides, and protein structural resolution. Furthermore, higher extents of labeling enable better identification of protein-ligand binding sites where lower extents of modification provide ambiguous results.

Indexed as

Diethyl PyrocarbonateMass SpectrometryMolecular Dynamics SimulationProteinsBinding SitesKineticsProtein ConformationDiethyl PyrocarbonateProteins

Identifiers

PMID38581471
PMCPMC11167616
OpenAlexW4394014547

What OpenQuestion holds

Textmetadata
LicenceTDM
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.