The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Exploring the repeat protein universe through computational protein design
Open accessAbstract
A central question in protein evolution is the extent to which naturally occurring proteins sample the space of folded structures accessible to the polypeptide chain. Repeat proteins composed of multiple tandem copies of a modular structure unit are widespread in nature and have critical roles in molecular recognition, signalling, and other essential biological processes. Naturally occurring repeat proteins have been re-engineered for molecular recognition and modular scaffolding applications. Here we use computational protein design to investigate the space of folded structures that can be generated by tandem repeating a simple helix–loop–helix–loop structural motif. Eighty-three designs with sequences unrelated to known repeat proteins were experimentally characterized. Of these, 53 are monomeric and stable at 95 °C, and 43 have solution X-ray scattering spectra consistent with the design models. Crystal structures of 15 designs spanning a broad range of curvatures are in close agreement with the design models with root mean square deviations ranging from 0.7 to 2.5 Å. Our results show that existing repeat proteins occupy only a small fraction of the possible repeat protein sequence and structure space and that it is possible to design novel repeat proteins with precisely specified geometries, opening up a wide array of new possibilities for biomolecular engineering.
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The coming of age of de novo protein design
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Self-citationAdvances in protein structure prediction and design
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Scaffolding protein functional sites using deep learning
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Self-citationProtein Design: From the Aspect of Water Solubility and Stability
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De novo protein design enables the precise induction of RSV-neutralizing antibodies
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Metadata
- Authors
- Brunette, T., Parmeggiani, F., Huang, P.-S., Bhabha, G., Ekiert, D. C., Tsutakawa, S. E., Hura, G. L., Tainer, J. A., & Baker, D.
- Venue
- Nature
- Published
- 2015-12
- Volume
- 528
- Issue
- 7583
- Pages
- 580-584
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2199134476
- Cited by
- 258
- References
- 11
- FWCI
- 9.91
- Type
- journal article
- Language
- en
- Open access
- green
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