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Nature. 2015 Dec 24;528(7583):580-4. doi: 10.1038/nature16162. Epub 2015 Dec 16.

Exploring the repeat protein universe through computational protein design.

Author information

1
Department of Biochemistry, University of Washington, Seattle, Washington 98195, USA.
2
Institute for Protein Design, University of Washington, Seattle, Washington 98195, USA.
3
Department of Cellular and Molecular Pharmacology, UCSF, San Francisco, California 94158, USA.
4
Department of Microbiology and Immunology, UCSF, San Francisco, California 94158, USA.
5
Molecular Biophysics &Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA.
6
Department of Chemistry and Biochemistry, University of California, Santa Cruz, California 95064, USA.
7
Department of Molecular and Cellular Oncology, The University of Texas M. D. Anderson Cancer Center, Houston, Texas 77030, USA.
8
Howard Hughes Medical Institute, University of Washington, Seattle, Washington 98195, USA.

Abstract

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.

PMID:
26675729
PMCID:
PMC4845728
DOI:
10.1038/nature16162
[Indexed for MEDLINE]
Free PMC Article

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