Evidence map›Paper›PMID 40285720›Full record

ArticleJournal of the American Chemical Society2025

Molecular Dynamics Simulations of Native Protein Charging in Electrosprayed Droplets with Experimentally Relevant Compositions.

Michael S Cordes, Elyssia S Gallagher

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2025. 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

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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Michael S CordesDepartment of Chemistry and Biochemistry, Baylor University, One Bear Place #97348, Waco, Texas 76798-7348, United States.ORCID 0009-0002-2953-5730
Elyssia S GallagherDepartment of Chemistry and Biochemistry, Baylor University, One Bear Place #97348, Waco, Texas 76798-7348, United States.ORCID 0000-0002-5411-7285

Funding

Assessing the Biomolecular Structures that Result from Electrospray IonizationR35GM150464 · NIGMS · BAYLOR UNIVERSITY · PI Elyssia S Gallagher · 2023 to 2026
$1.4M
NIGMS NIH HHS R35 GM150464
6 · The paper itself

Abstract

Electrospray ionization-mass spectrometry (ESI-MS) has been widely used to study proteins given its preservation of native-protein structure when transitioning to the gas-phase. Understanding the influence of experimental factors on ESI can provide insight into the resulting charge states, as well as the degree to which "native" structure is maintained. Experimentally, it is challenging to characterize nanometer-scale electrosprayed droplets; however, molecular dynamics (MD) simulations pose an attractive solution by providing a molecular perspective of protein-ion formation. By resolving many approximations used in past MD simulations of ESI, we demonstrate the capability of simulating electrosprayed droplets with experimentally relevant droplet compositions and behavior. This is accomplished by modeling proton transfers between all titratable molecules in simulated droplets under atmospheric conditions; thus, enabling simulated droplets containing ammonium acetate that form experimentally observed (de)protonated protein ions. Application of the proposed protocol to several native proteins in positive- and negative-ion mode ESI produced simulated weighted averages of charge-state distributions that differed by 0.14 compared to experimental values. Our simulations suggest that changes in residue basicity during the transition to the gas-phase play a significant role in moderating protein charging during native-ESI and can explain many experimentally observed trends. Ionic protein structures produced via the simulated model maintained, on average, 73% of their native contacts into the gas phase relative to solution-phase structures. While applied towards native proteins here, novel insights into effects of the transition to gas-phase enable a deeper understanding of the ESI process itself and thus, are informative regardless of analyte.

Indexed as

Molecular Dynamics SimulationProteinsSpectrometry, Mass, Electrospray IonizationProteins

Identifiers

PMID40285720
PMCPMC12330896

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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.