ArticleJournal of the American Society for Mass Spectrometry2012
Statistical analysis of ion mobility spectrometry. II. Adaptively biased methods and shape correlations.
Article in Journal of the American Society for Mass Spectrometry, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Characterization of Gas-Phase Native(-like) Proteins Using Structures for Lossless Ion Manipulations.Analytical chemistry · 2026Article
- Protein shape sampled by ion mobility mass spectrometry consistently improves protein structure prediction.Nature communications · 2022Article
- Conformational investigation of the structure-activity relationship of GdFFD and its analogues on an achatin-like neuropeptide receptor of Aplysia californica involved in the feeding circuit.Physical chemistry chemical physics : PCCP · 2018Article
- Linking molecular models with ion mobility experiments. Illustration with a rigid nucleic acid structure.Journal of mass spectrometry : JMS · 2015Article
- Mass spectrometry coupled experiments and protein structure modeling methods.International journal of molecular sciences · 2013Review
- Contribution of the empirical dispersion correction on the conformation of short alanine peptides obtained by gas-phase QM calculations.Canadian journal of chemistry · 2013Article
- Cis-trans isomerizations of proline residues are key to bradykinin conformations.Journal of the American Chemical Society · 2013Article
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Authors and funding
7 authors.
Funding
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Abstract
Following a recent effort [J. Am. Soc. Mass Spectrom. 23, 386-396 (2012)], we continue to explore computational methodologies for generating molecular conformations to support collisional cross sections suggested by ion mobility measurements. Here, adaptively biased molecular dynamics (ABMD) simulations are used to sample the configuration space and to achieve flat-histogram sampling along the reaction coordinates of the first two moments of the gyration tensor. The method is tested and compared with replica-exchange simulations on triply-protonated bradykinin and on a larger 25-residue peptide. It is found to have a much higher efficiency for producing large sets of conformations in a broad range of diffusion cross-sections, whereas it does not compete with conventional replica-exchange molecular dynamics in locating the lowest-energy structure. Nevertheless, the broad sampling obtained from the ABMD method allows to quantitatively correlate the diffusion cross-section Ω with other geometric order parameters that have simpler interpretation. The strong correlations found between the diffusion cross-section and the radius of gyration, the surface area and the volume of the convex hull suggest an optimal template for accurately mimicking the variations of Ω in a broad range of conformations, using only geometrical information and doing so at a very moderate computational cost. The existence of such a correlation is confirmed on the much larger protein α-lactalbumin.
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