ArticleJournal of the American Society for Mass Spectrometry2017
Coming to Grips with Ambiguity: Ion Mobility-Mass Spectrometry for Protein Quaternary Structure Assignment.
Article in Journal of the American Society for Mass Spectrometry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Improving Protein Structure Prediction Using Integrative Cryo-EM and Ion Mobility Mass Spectrometry Modeling.Journal of chemical theory and computation · 2026Article
- Improving Protein Structure Prediction Using Integrative Cryo-EM and Ion Mobility Mass Spectrometry Modeling.bioRxiv : the preprint server for biology · 2026Article
- HDXRank: A Deep Learning Framework for Ranking Protein Complex Predictions with Hydrogen-Deuterium Exchange Data.Journal of chemical theory and computation · 2025Article
- Predicting ion mobility collision cross sections using projection approximation with ROSIE-PARCS webserver.Briefings in bioinformatics · 2023Article
- Are the Gas-Phase Structures of Molecular Elephants Enduring or Ephemeral? Results from Time-Dependent, Tandem Ion Mobility.Analytical chemistry · 2023Article
- Protein shape sampled by ion mobility mass spectrometry consistently improves protein structure prediction.Nature communications · 2022Article
- Simulation of Energy-Resolved Mass Spectrometry Distributions from Surface-Induced Dissociation.Analytical chemistry · 2022Article
- Approaches to Heterogeneity in Native Mass Spectrometry.Chemical reviews · 2022Review
- Collision Cross Sections for Native Proteomics: Challenges and Opportunities.Journal of proteome research · 2022Article
- Prediction of Protein Complex Structure Using Surface-Induced Dissociation and Cryo-Electron Microscopy.Analytical chemistry · 2021Article
- Reaction Monitoring and Structural Characterisation of Coordination Driven Self-Assembled Systems by Ion Mobility-Mass Spectrometry.Frontiers in chemistry · 2021Review
- Hybrid methods for combined experimental and computational determination of protein structure.The Journal of chemical physics · 2020Review
- Collision cross-section analysis of self-assembled metallomacrocycle isomers and isobars via ion mobility mass spectrometry.Rapid communications in mass spectrometry : RCM · 2020Article
- Predicting Protein Complex Structure from Surface-Induced Dissociation Mass Spectrometry Data.ACS central science · 2019Article
- A Semi-Empirical Framework for Interpreting Traveling Wave Ion Mobility Arrival Time Distributions.Journal of the American Society for Mass Spectrometry · 2019Article
- Native Mass Spectrometry, Ion Mobility, Electron-Capture Dissociation, and Modeling Provide Structural Information for Gas-Phase Apolipoprotein E Oligomers.Journal of the American Society for Mass Spectrometry · 2019Article
- Conditions for Analysis of Native Protein Structures Using Uniform Field Drift Tube Ion Mobility Mass Spectrometry and Characterization of Stable Calibrants for TWIM-MS.Journal of the American Society for Mass Spectrometry · 2019Article
- On the Effect of Sphere-Overlap on Super Coarse-Grained Models of Protein Assemblies.Journal of the American Society for Mass Spectrometry · 2019Article
- A Structural Model of the Urease Activation Complex Derived from Ion Mobility-Mass Spectrometry and Integrative Modeling.Structure (London, England : 1993) · 2018Article
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3 authors.
Funding
Abstract
Multiprotein complexes are central to our understanding of cellular biology, as they play critical roles in nearly every biological process. Despite many impressive advances associated with structural characterization techniques, large and highly-dynamic protein complexes are too often refractory to analysis by conventional, high-resolution approaches. To fill this gap, ion mobility-mass spectrometry (IM-MS) methods have emerged as a promising approach for characterizing the structures of challenging assemblies due in large part to the ability of these methods to characterize the composition, connectivity, and topology of large, labile complexes. In this Critical Insight, we present a series of bioinformatics studies aimed at assessing the information content of IM-MS datasets for building models of multiprotein structure. Our computational data highlights the limits of current coarse-graining approaches, and compelled us to develop an improved workflow for multiprotein topology modeling, which we benchmark against a subset of the multiprotein complexes within the PDB. This improved workflow has allowed us to ascertain both the minimal experimental restraint sets required for generation of high-confidence multiprotein topologies, and quantify the ambiguity in models where insufficient IM-MS information is available. We conclude by projecting the future of IM-MS in the context of protein quaternary structure assignment, where we predict that a more complete knowledge of the ultimate information content and ambiguity within such models will undoubtedly lead to applications for a broader array of challenging biomolecular assemblies. Graphical Abstract ᅟ.
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