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DeNovoImmunoDesign SIGNED

Computational Design of Novel Functional Proteins for Immunoengineering

Total Cost €

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EC-Contrib. €

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Partnership

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 DeNovoImmunoDesign project word cloud

Explore the words cloud of the DeNovoImmunoDesign project. It provides you a very rough idea of what is the project "DeNovoImmunoDesign" about.

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Project "DeNovoImmunoDesign" data sheet

The following table provides information about the project.

Coordinator
ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE 

Organization address
address: BATIMENT CE 3316 STATION 1
city: LAUSANNE
postcode: 1015
website: www.epfl.ch

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Switzerland [CH]
 Total cost 1˙695˙489 €
 EC max contribution 1˙695˙489 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2016-STG
 Funding Scheme ERC-STG
 Starting year 2017
 Duration (year-month-day) from 2017-03-01   to  2022-02-28

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE CH (LAUSANNE) coordinator 1˙695˙489.00

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 Project objective

Finely orchestrated protein activities are at the heart of the most fundamental cellular processes. The rational and structure-based design of novel functional proteins holds the promise to revolutionize many important aspects in biology, medicine and biotechnology. Computational protein design has led the way on rational protein engineering, however many of these designed proteins were solely focused on structural accuracy and completely impaired of function. DeNovoImmunoDesign proposes novel computational design strategies centered on the exploration of de novo protein topologies and the use of structural flexibility with the ultimate goal of designing functional proteins. The proposed methodologies aim to solve a prevalent problem in computational design that relates to the lack of optimal design templates for the optimization of function. By expanding beyond the known protein structural space, our approaches represent new paradigms on the design of de novo functional proteins. DeNovoImmunoDesign will leverage our new methodologies to design functional proteins with rational approaches for two crucial biomedical endeavors - vaccine design and cancer immunotherapy. Our strategy for vaccine design is to engineer structure-based epitope-focused immunogens to elicit potent neutralizing antibodies – a requirement for vaccine protection. The underlying basis of cancer immunotherapy is the inhibition of key protein-protein interactions - an arena where rational design is lagging. To meet this central need we will develop innovative approaches to design new protein binders for cancer immunotherapy applications. DeNovoImmunoDesign is a multidisciplinary proposal where computation is intertwined with experimentation (biochemistry, structural biology and immunology). Our unique competences and groundbreaking research have all the components to translate into transformative advances for both basic and applied biology through innovations in rational protein design.

 Publications

year authors and title journal last update
List of publications.
2019 F Sesterhenn, C Yang, JT Cramer, J Bonet, X Wen, LA Abriata, I Kucharska, CI Chiang, Y Wang, G Castoro, SS Vollers, M Galloux, CA Richard, S Rosset, P Corthésy, S Georgeon, M Villard, D Descamps, T Delgado, MA Rameix-Welti, V Más, S Ervin, JF Eléouët, S Riffault, JT Bates, JP Julien, Y Li, T Jardetzky, T Krey, BE Correia
Trivalent cocktail of de novo designed immunogens enables the robust induction and focusing of functional antibodies in vivo
published pages: , ISSN: , DOI: 10.1101/685867
Bioarxiv 2020-02-05
2019 P. Gainza, F. Sverrisson, F. Monti, E. Rodolà, D. Boscaini, M. M. Bronstein, B. E. Correia
Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning
published pages: , ISSN: 1548-7091, DOI: 10.1038/s41592-019-0666-6
Nature Methods 2020-02-04
2018 Jaume Bonet, Zander Harteveld, Fabian Sesterhenn, Andreas Scheck, Bruno E Correia
rstoolbox: management and analysis of computationally designed structural ensembles.
published pages: , ISSN: , DOI: 10.1101/428045
2019-05-08
2018 Jaume Bonet, Sarah Wehrle, Karen Schriever, Che Yang, Anne Billet, Fabian Sesterhenn, Andreas Scheck, Freyr Sverrisson, Sabrina Vollers, Roxanne Lourman, Melanie Villard, Stephane Rosset, Bruno E Correia
Rosetta FunFolDes - a general framework for the computational design of functional proteins
published pages: , ISSN: , DOI: 10.1101/378976
2019-05-08
2018 Fabian Sesterhenn, Marie Galloux, Sabrina S Vollers, Lucia Csepregi, Che Yang, Delphyne Descamps, Jaume Bonet, Simon Friedensohn, Pablo Gainza, Patricia Corthesy, Man Chen, Stephane Rosset, Marie-Anne Rameix-Welti, Jean-François Eleouet, Sai T Reddy, Barney S Graham, Sabine Riffault, Bruno Correia
Boosting subdominant neutralizing antibody responses with a computationally designed epitope-focused immunogen
published pages: , ISSN: , DOI: 10.1101/430157
2019-05-08

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