ArticleStructure (London, England : 1993)2011
Membrane protein structure determination using paramagnetic tags.
Article in Structure (London, England : 1993), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Paramagnetic Chemical Probes for Studying Biological Macromolecules.Chemical reviews · 2022Review
- Structure and physiological function of the human KCNQ1 channel voltage sensor intermediate state.eLife · 2020Article
- Paramagnetic relaxation enhancement of membrane proteins by incorporation of the metal-chelating unnatural amino acid 2-amino-3-(8-hydroxyquinolin-3-yl)propanoic acid (HQA).Journal of biomolecular NMR · 2015Article
- Sparse labeling of proteins: structural characterization from long range constraints.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2014Review
- Article
- BCL::Fold--de novo prediction of complex and large protein topologies by assembly of secondary structure elements.PloS one · 2012Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
The combination of paramagnetic tagging strategies with NMR or EPR spectroscopic techniques can revolutionize de novo structure determination of helical membrane proteins. Leveraging the full potential of this approach requires optimal labeling strategies and prediction of membrane protein topology from sparse and low-resolution distance restraints, as addressed by Chen et al. (2011).
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.