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Cited by 220

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Solution structure and dynamics of a de novo designed three-helix bundle protein

Open access
Walsh, Scott T. R., Cheng, Hong, Bryson, James W., Roder, Heinrich, DeGrado, William F.·1999·Proceedings of the National Academy of Sciences

Abstract

Although de novo protein design is an important endeavor with implications for understanding protein folding, until now, structures have been determined for only a few 25- to 30-residue designed miniproteins. Here, the NMR solution structure of a complex 73-residue three-helix bundle protein, α 3 D, is reported. The structure of α 3 D was not based on any natural protein, and yet it shows thermodynamic and spectroscopic properties typical of native proteins. A variety of features contribute to its unique structure, including electrostatics, the packing of a diverse set of hydrophobic side chains, and a loop that incorporates common capping motifs. Thus, it is now possible to design a complex protein with a well defined and predictable three-dimensional structure.

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Metadata

Authors
Walsh, S. T. R., Cheng, H., Bryson, J. W., Roder, H., & DeGrado, W. F.
Venue
Proceedings of the National Academy of Sciences
Published
1999-05-11
Volume
96
Issue
10
Pages
5486-5491
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2170285690
Cited by
220
References
2
FWCI
4.24
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Solution structure and dynamics of a de novo designed three-helix bundle protein. https://app.cochat.ai/papers/10.1073/pnas.96.10.5486
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Walsh, S. T. R., Cheng, H., Bryson, J. W., Roder, H., & DeGrado, W. F. (1999). Solution structure and dynamics of a de novo designed three-helix bundle protein. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.96.10.5486

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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.