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Cited by 298

The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.

De novo design of a transmembrane Zn 2+ -transporting four-helix bundle

Open access
Joh, Nathan H., Wang, Tuo, Bhate, Manasi P., Acharya, Rudresh, Wu, Yibing, Grabe, Michael, Hong, Mei, Grigoryan, Gevorg, DeGrado, William F.·2014·Science

Abstract

The design of functional membrane proteins from first principles represents a grand challenge in chemistry and structural biology. Here, we report the design of a membrane-spanning, four-helical bundle that transports first-row transition metal ions Zn 2+ and Co 2+ , but not Ca 2+ , across membranes. The conduction path was designed to contain two di-metal binding sites that bind with negative cooperativity. X-ray crystallography and solid-state and solution nuclear magnetic resonance indicate that the overall helical bundle is formed from two tightly interacting pairs of helices, which form individual domains that interact weakly along a more dynamic interface. Vesicle flux experiments show that as Zn 2+ ions diffuse down their concentration gradients, protons are antiported. These experiments illustrate the feasibility of designing membrane proteins with predefined structural and dynamic properties.

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Metadata

Authors
Joh, N. H., Wang, T., Bhate, M. P., Acharya, R., Wu, Y., Grabe, M., Hong, M., Grigoryan, G., & DeGrado, W. F.
Venue
Science
Published
2014-12-19
Volume
346
Issue
6216
Pages
1520-1524
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W1974312616
Cited by
298
References
59
FWCI
11.56
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: De novo design of a transmembrane Zn 2+ -transporting four-helix bundle. https://app.cochat.ai/papers/10.1126/science.1261172
The paper
Joh, N. H., Wang, T., Bhate, M. P., Acharya, R., Wu, Y., Grabe, M., Hong, M., Grigoryan, G., & DeGrado, W. F. (2014). De novo design of a transmembrane Zn 2+ -transporting four-helix bundle. Science. https://doi.org/10.1126/science.1261172

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