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Cited by 420

The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.

Watching proteins move using site-directed spin labeling

Open access
Hubbell, Wayne L, Mchaourab, Hassane S, Altenbach, Christian, Lietzow, Michael A·1996·Structure

Abstract

Site-directed spin labeling of proteins has proven to be a practical means for determining secondary structure and its orientation; surfaces of tertiary interactions; inter-residue distances; chain topology and depth of a given side chain from the membrane/aqueous surface in membrane proteins; and local electrostatic potentials at solvent-exposed sites. Moreover, the mobility of a side chain together with its solvent-accessibility may serve to uniquely identify the topographical location of specific residues in the protein fold. Future spectral analysis should permit a quantitative estimation of the contribution of backbone flexibility to the overall side-chain dynamics. The ability to time-resolve the structural features mentioned above makes SDSL a powerful approach for exploring the evolution of structure on the millisecond time scale. We anticipate future applications to the study of protein folding both in solution and in chaperone-mediated systems.

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Crossref · 10.1016/s0969-2126(96)00085-8

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Metadata

Authors
Hubbell, W. L., Mchaourab, H. S., Altenbach, C., & Lietzow, M. A.
Venue
Structure
Publisher
Elsevier BV
Published
1996-07
Volume
4
Issue
7
Pages
779-783
ISSN
0969-2126 (ISSN-L)
OpenAlex
W2092054802
Cited by
420
References
19
FWCI
5.64
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Watching proteins move using site-directed spin labeling. https://app.cochat.ai/papers/10.1016/s0969-2126(96)00085-8
The paper
Hubbell, W. L., Mchaourab, H. S., Altenbach, C., & Lietzow, M. A. (1996). Watching proteins move using site-directed spin labeling. Structure. https://doi.org/10.1016/s0969-2126(96)00085-8

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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.