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Evidence for Many Resolvable Structures within Conformation Types of Electrosprayed Ubiquitin Ions

Koeniger, Stormy L., Merenbloom, Samuel I., Clemmer, David E.·2006·The Journal of Physical Chemistry B

Abstract

A new two-dimensional ion mobility spectrometry approach combined with mass spectrometry has been used to examine ubiquitin ions in the gas phase. In this approach ions are separated in an initial drift tube into conformation types (defined by their collision cross sections) and then a gate is used to introduce a narrow distribution of mobility-separated ions into a second drift tube for subsequent separation. The results show that upon selection a narrow peak shape is retained through the second drift tube. This requires that at 300 K the selected distribution does not interconvert substantially within the broader range of structures associated with the conformation type within the approximately 10-20 ms time scale of these experiments. For the [M + 7H]7+ ion, it appears that many ( approximately 5-10) narrow selections can be made across each of the compact, partially-folded, and elongated conformer types, defined previously (Int. J. Mass Spectrom. 1999, 187, 37-47).

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Metadata

Authors
Koeniger, S. L., Merenbloom, S. I., & Clemmer, D. E.
Venue
The Journal of Physical Chemistry B
Published
2006-03-09
Volume
110
Issue
13
Pages
7017-7021
ISSN
  • 1520-5207 (ISSN-L)
  • 1520-6106
OpenAlex
W2077741051
Cited by
165
References
0
FWCI
5.18
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Evidence for Many Resolvable Structures within Conformation Types of Electrosprayed Ubiquitin Ions. https://app.cochat.ai/papers/10.1021/jp056165h
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Koeniger, S. L., Merenbloom, S. I., & Clemmer, D. E. (2006). Evidence for Many Resolvable Structures within Conformation Types of Electrosprayed Ubiquitin Ions. The Journal of Physical Chemistry B. https://doi.org/10.1021/jp056165h

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.