Evidence map›Paper›PMID 29858839›Full record

ArticleJournal of the American Society for Mass Spectrometry2018

Comprehensive Peptide Ion Structure Studies Using Ion Mobility Techniques: Part 3. Relating Solution-Phase to Gas-Phase Structures.

Samaneh Ghassabi Kondalaji, Mahdiar Khakinejad, Stephen J Valentine

Abstract read
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2018. 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
–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

7 citing papers in PubMed.

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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

3 authors.

Samaneh Ghassabi KondalajiDepartment of Chemistry, West Virginia University, Morgantown, WV, 26506, USA.
Mahdiar KhakinejadDepartment of Chemistry, West Virginia University, Morgantown, WV, 26506, USA.
Stephen J ValentineDepartment of Chemistry, West Virginia University, Morgantown, WV, 26506, USA. stephen.valentine@mail.wvu.edu.ORCID 0000-0003-4360-2928

Funding

Developing IMS-SID/MAD-MS Instrumentation for Characterizing Intrinsically Disordered Protein StructureR01GM114494 · NIGMS · WEST VIRGINIA UNIVERSITY · PI VALENTINE, STEPHEN · 2015 to 2019
$1.4M
Foundation for the National Institutes of Health R01GM114494NIGMS NIH HHS R01 GM114494
6 · The paper itself

Abstract

Molecular dynamics (MD) simulations have been utilized to study peptide ion conformer establishment during the electrospray process. An explicit water model is used for nanodroplets containing a model peptide and hydronium ions. Simulations are conducted at 300 K for two different peptide ion charge configurations and for droplets containing varying numbers of hydronium ions. For all conditions, modeling has been performed until production of the gas-phase ions and the resultant conformers have been compared to proposed gas-phase structures. The latter species were obtained from previous studies in which in silico candidate structures were filtered according to ion mobility and hydrogen-deuterium exchange (HDX) reactivity matches. Results from the present study present three key findings namely (1) the evidence from ion production modeling supports previous structure refinement studies based on mobility and HDX reactivity matching, (2) the modeling of the electrospray process is significantly improved by utilizing initial droplets existing below but close to the calculated Rayleigh limit, and (3) peptide ions in the nanodroplets sample significantly different conformers than those in the bulk solution due to altered physicochemical properties of the solvent. Graphical Abstract ᅟ.

Indexed as

Electrospray ionizationMolecular dynamics simulationsPeptide ion structure

Identifiers

PMID29858839
PMCPMC6525623

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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.