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Evolution-Inspired Computational Design of Symmetric Proteins

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Book cover Computational Protein Design

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1529))

Abstract

Monomeric proteins with a number of identical repeats creating symmetrical structures are potentially very valuable building blocks with a variety of bionanotechnological applications. As such proteins do not occur naturally, the emerging field of computational protein design serves as an excellent tool to create them from nonsymmetrical templates. Existing pseudo-symmetrical proteins are believed to have evolved from oligomeric precursors by duplication and fusion of identical repeats. Here we describe a computational workflow to reverse-engineer this evolutionary process in order to create stable proteins consisting of identical sequence repeats.

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Acknowledgements

AV acknowledges RIKEN’s program for Junior Scientists for the FPR fellowship and funding.

Author information

Authors and Affiliations

  1. Laboratory for Biomolecular Modelling and Design, KU Leuven, Celestijnenlaan 200G, Leuven, 3000, Belgium

    Arnout R. D. Voet

  2. Structural Bioinformatics Team, Division of Structural and Synthetic Biology, Center for Life Science Technologies, RIKEN, 1-7-22 Suehiro, Yokohama, Kanagawa, 230-0045, Japan

    David Simoncini

  3. MIAT, UR-875, INRA, F-31320, Castanet Tolosan, France

    David Simoncini

  4. Drug Design Laboratory, Graduate School of Medical Life Science, Yokohama City University, 1-7-29 Suehiro, Yokohama, Kanagawa, 230-0045, Japan

    Jeremy R. H. Tame

  5. Structural Bioinformatics Team, Division of Structural and Synthetic Biology, Center for Life Science Technologies, 1-7-22 Suehiro, Yokohama, Kanagawa, 230-0045, Japan

    Kam Y. J. Zhang

Authors
  1. Arnout R. D. Voet
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  2. David Simoncini
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  3. Jeremy R. H. Tame
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  4. Kam Y. J. Zhang
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Corresponding author

Correspondence to Arnout R. D. Voet .

Editor information

Editors and Affiliations

  1. Department of Plants and Environmental Sciences, Weizmann Institute of Science, Rehovot, Israel

    Ilan Samish

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Voet, A.R.D., Simoncini, D., Tame, J.R.H., Zhang, K.Y.J. (2017). Evolution-Inspired Computational Design of Symmetric Proteins. In: Samish, I. (eds) Computational Protein Design. Methods in Molecular Biology, vol 1529. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-6637-0_16

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  • DOI: https://doi.org/10.1007/978-1-4939-6637-0_16

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-6635-6

  • Online ISBN: 978-1-4939-6637-0

  • eBook Packages: Springer Protocols

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