ArticleJournal of the American Society for Mass Spectrometry2009
The contributions of molecular framework to IMS collision cross-sections of gas-phase peptide ions.
Article in Journal of the American Society for Mass Spectrometry, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 25 citations in OpenAlex.
- Ion Mobility Collision Cross Section Compendium.Analytical chemistry · 2017Review
- Multiple gas-phase conformations of proline-containing peptides: is it always cis/trans isomerization?The Analyst · 2016Article
- Does Thermal Breathing Affect Collision Cross Sections of Gas-Phase Peptide Ions? An Ab Initio Molecular Dynamics Study.The journal of physical chemistry letters · 2016Article
- Large-scale collision cross-section profiling on a traveling wave ion mobility mass spectrometer.Journal of the American Society for Mass Spectrometry · 2014Article
- Activation state-selective kinase inhibitor assay based on ion mobility-mass spectrometry.Analytical chemistry · 2013Article
- An assessment of computational methods for obtaining structural information of moderately flexible biomolecules from ion mobility spectrometry.Journal of the American Society for Mass Spectrometry · 2012Article
- Integrating mass spectrometry of intact protein complexes into structural proteomics.Proteomics · 2012Review
- CONSeQuence: prediction of reference peptides for absolute quantitative proteomics using consensus machine learning approaches.Molecular & cellular proteomics : MCP · 2011Article
- Bound anions differentially stabilize multiprotein complexes in the absence of bulk solvent.Journal of the American Chemical Society · 2011Article
- Collision cross-section determination and tandem mass spectrometric analysis of isomeric carotenoids using electrospray ion mobility time-of-flight mass spectrometry.Analytical chemistry · 2010Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Molecular dynamics (MD) is an essential tool for correlating collision cross-section data determined by ion mobility spectrometry (IMS) with candidate (calculated) structures. Conventional methods used for ion structure determination rely on comparing the measured cross-sections with the calculated collision cross-section for the lowest energy structure(s) taken from a large pool of candidate structures generated through multiple tiers of simulated annealing. We are developing methods to evaluate candidate structures from an ensemble of many conformations rather than the lowest energy structure. Here, we describe computational simulations and clustering methods to assign backbone conformations for singly-protonated ions of the model peptide (NH(2)-Met-Ile-Phe-Ala-Gly-Ile-Lys-COOH) formed by both MALDI and ESI, and compare the structures of MIFAGIK derivatives to test the 'sensitivity' of the cluster analysis method. Cluster analysis suggests that [MIFAGIK + H](+) ions formed by MALDI have a predominantly turn structure even though the low-energy ions prefer partial helical conformers. Although the ions formed by ESI have collision cross-sections that are different from those formed by MALDI, the results of cluster analysis indicate that the ions backbone structures are similar. Chemical modifications (N-acetyl, methylester as well as addition of Boc or Fmoc groups) to MIFAGIK alter the distribution of various conformers; the most dramatic changes are observed for the [M + Na](+) ion, which show a strong preference for random coil conformers owing to the strong solvation by the backbone amide groups.
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