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Rosetta FunFolDes – a general framework for the computational design of functional proteins

Jaume Bonet, Sarah Wehrle, Karen Schriever, Che Yang, Anne Billet, Fabian Sesterhenn, Andreas Scheck, Freyr Sverrisson, Sabrina Vollers, Roxanne Lourman, Melanie Villard, Stéphane Rosset, Bruno E. Correia
doi: https://doi.org/10.1101/378976
Jaume Bonet
1Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, CH-1015, Switzerland
2Swiss Institute of Bioinformatics (SIB), Lausanne, CH-1015, Switzerland
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Sarah Wehrle
1Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, CH-1015, Switzerland
2Swiss Institute of Bioinformatics (SIB), Lausanne, CH-1015, Switzerland
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Karen Schriever
1Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, CH-1015, Switzerland
2Swiss Institute of Bioinformatics (SIB), Lausanne, CH-1015, Switzerland
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Che Yang
1Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, CH-1015, Switzerland
2Swiss Institute of Bioinformatics (SIB), Lausanne, CH-1015, Switzerland
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Anne Billet
1Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, CH-1015, Switzerland
2Swiss Institute of Bioinformatics (SIB), Lausanne, CH-1015, Switzerland
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Fabian Sesterhenn
1Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, CH-1015, Switzerland
2Swiss Institute of Bioinformatics (SIB), Lausanne, CH-1015, Switzerland
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Andreas Scheck
1Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, CH-1015, Switzerland
2Swiss Institute of Bioinformatics (SIB), Lausanne, CH-1015, Switzerland
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Freyr Sverrisson
1Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, CH-1015, Switzerland
2Swiss Institute of Bioinformatics (SIB), Lausanne, CH-1015, Switzerland
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Sabrina Vollers
1Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, CH-1015, Switzerland
2Swiss Institute of Bioinformatics (SIB), Lausanne, CH-1015, Switzerland
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Roxanne Lourman
1Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, CH-1015, Switzerland
2Swiss Institute of Bioinformatics (SIB), Lausanne, CH-1015, Switzerland
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Melanie Villard
1Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, CH-1015, Switzerland
2Swiss Institute of Bioinformatics (SIB), Lausanne, CH-1015, Switzerland
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Stéphane Rosset
1Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, CH-1015, Switzerland
2Swiss Institute of Bioinformatics (SIB), Lausanne, CH-1015, Switzerland
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Bruno E. Correia
1Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, CH-1015, Switzerland
2Swiss Institute of Bioinformatics (SIB), Lausanne, CH-1015, Switzerland
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Abstract

The robust computational design of functional proteins has the potential to deeply impact translational research and broaden our understanding of the determinants of protein function, nevertheless, it remains a challenge for state-of-the-art methodologies. Here, we present a computational design approach that couples conformational folding with sequence design to embed functional motifs into heterologous proteins. We performed extensive benchmarks, where the most unexpected finding was that the design of function into proteins may not necessarily reside in the global minimum of the energetic landscape, which could have important implications in the field. We have computationally designed and experimentally characterized a distant structural template and a de novo “functionless” fold, two prototypical design challenges, to present important viral epitopes. Overall, we present an accessible strategy to repurpose old protein folds for new functions, which may lead to important improvements on the computational design of functional proteins.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
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Posted July 28, 2018.
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Rosetta FunFolDes – a general framework for the computational design of functional proteins
Jaume Bonet, Sarah Wehrle, Karen Schriever, Che Yang, Anne Billet, Fabian Sesterhenn, Andreas Scheck, Freyr Sverrisson, Sabrina Vollers, Roxanne Lourman, Melanie Villard, Stéphane Rosset, Bruno E. Correia
bioRxiv 378976; doi: https://doi.org/10.1101/378976
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Rosetta FunFolDes – a general framework for the computational design of functional proteins
Jaume Bonet, Sarah Wehrle, Karen Schriever, Che Yang, Anne Billet, Fabian Sesterhenn, Andreas Scheck, Freyr Sverrisson, Sabrina Vollers, Roxanne Lourman, Melanie Villard, Stéphane Rosset, Bruno E. Correia
bioRxiv 378976; doi: https://doi.org/10.1101/378976

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