1
|
Gainza P, Wehrle S, Van Hall-Beauvais A, Marchand A, Scheck A, Harteveld Z, Buckley S, Ni D, Tan S, Sverrisson F, Goverde C, Turelli P, Raclot C, Teslenko A, Pacesa M, Rosset S, Georgeon S, Marsden J, Petruzzella A, Liu K, Xu Z, Chai Y, Han P, Gao GF, Oricchio E, Fierz B, Trono D, Stahlberg H, Bronstein M, Correia BE. De novo design of protein interactions with learned surface fingerprints. Nature 2023; 617:176-184. [PMID: 37100904 PMCID: PMC10131520 DOI: 10.1038/s41586-023-05993-x] [Citation(s) in RCA: 30] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 03/21/2023] [Indexed: 04/28/2023]
Abstract
Physical interactions between proteins are essential for most biological processes governing life1. However, the molecular determinants of such interactions have been challenging to understand, even as genomic, proteomic and structural data increase. This knowledge gap has been a major obstacle for the comprehensive understanding of cellular protein-protein interaction networks and for the de novo design of protein binders that are crucial for synthetic biology and translational applications2-9. Here we use a geometric deep-learning framework operating on protein surfaces that generates fingerprints to describe geometric and chemical features that are critical to drive protein-protein interactions10. We hypothesized that these fingerprints capture the key aspects of molecular recognition that represent a new paradigm in the computational design of novel protein interactions. As a proof of principle, we computationally designed several de novo protein binders to engage four protein targets: SARS-CoV-2 spike, PD-1, PD-L1 and CTLA-4. Several designs were experimentally optimized, whereas others were generated purely in silico, reaching nanomolar affinity with structural and mutational characterization showing highly accurate predictions. Overall, our surface-centric approach captures the physical and chemical determinants of molecular recognition, enabling an approach for the de novo design of protein interactions and, more broadly, of artificial proteins with function.
Collapse
Affiliation(s)
- Pablo Gainza
- Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- Monte Rosa Therapeutics, Basel, Switzerland
| | - Sarah Wehrle
- Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Alexandra Van Hall-Beauvais
- Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Anthony Marchand
- Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Andreas Scheck
- Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Zander Harteveld
- Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Stephen Buckley
- Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Dongchun Ni
- Laboratory of Biological Electron Microscopy, Institute of Physics, School of Basic Science, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Department of Fundamental Microbiology, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
| | - Shuguang Tan
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Freyr Sverrisson
- Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Casper Goverde
- Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Priscilla Turelli
- Laboratory of Virology and Genetics, School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Charlène Raclot
- Laboratory of Virology and Genetics, School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Alexandra Teslenko
- Laboratory of Biophysical Chemistry of Macromolecules, School of Basic Sciences, Institute of Chemical Sciences and Engineering (ISIC), École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Martin Pacesa
- Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Stéphane Rosset
- Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Sandrine Georgeon
- Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Jane Marsden
- Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Aaron Petruzzella
- Swiss Institute for Experimental Cancer Research, School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Kefang Liu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Zepeng Xu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Yan Chai
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Pu Han
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - George F Gao
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Elisa Oricchio
- Swiss Institute for Experimental Cancer Research, School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Beat Fierz
- Laboratory of Biophysical Chemistry of Macromolecules, School of Basic Sciences, Institute of Chemical Sciences and Engineering (ISIC), École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Didier Trono
- Laboratory of Virology and Genetics, School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Henning Stahlberg
- Laboratory of Biological Electron Microscopy, Institute of Physics, School of Basic Science, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Department of Fundamental Microbiology, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
| | | | - Bruno E Correia
- Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
- Swiss Institute of Bioinformatics, Lausanne, Switzerland.
| |
Collapse
|
2
|
Thomas OS, Rebmann B, Tonn M, Schirmeister IC, Wehrle S, Becker J, Zea Jimenez GJ, Hook S, Jäger S, Klenzendorf M, Laskowski M, Kaier A, Pütz G, Zurbriggen MD, Weber W, Hörner M, Wagner HJ. Reversible Shielding and Immobilization of Liposomes and Viral Vectors by Tailored Antibody-Ligand Interactions. Small 2022; 18:e2105157. [PMID: 34859962 DOI: 10.1002/smll.202105157] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 10/24/2021] [Indexed: 06/13/2023]
Abstract
Controlling the time and dose of nanoparticulate drug delivery by administration of small molecule drugs holds promise for efficient and safer therapies. This study describes a versatile approach of exploiting antibody-ligand interactions for the design of small molecule-responsive nanocarrier and nanocomposite systems. For this purpose, antibody fragments (scFvs) specific for two distinct small molecule ligands are designed. Subsequently, the surface of nanoparticles (liposomes or adeno-associated viral vectors, AAVs) is modified with these ligands, serving as anchor points for scFv binding. By modifying the scFvs with polymer tails, they can act as a non-covalently bound shielding layer, which is recruited to the anchor points on the nanoparticle surface and prevents interactions with cultured mammalian cells. Administration of an excess of the respective ligand triggers competitive displacement of the shielding layer from the nanoparticle surface and restores nanoparticle-cell interactions. The same principle is applied for developing hydrogel depots that can release integrated AAVs or liposomes in response to small molecule ligands. The liberated nanoparticles subsequently deliver their cargoes to cells. In summary, the utilization of different antibody-ligand interactions, different nanoparticles, and different release systems validates the versatility of the design concept described herein.
Collapse
Affiliation(s)
- Oliver S Thomas
- Faculty of Biology II, University of Freiburg, 79104, Freiburg, Germany
- Signalling Research Centres BIOSS and CIBSS, University of Freiburg, 79104, Freiburg, Germany
- Spemann Graduate School of Biology and Medicine (SGBM), University of Freiburg, 79104, Freiburg, Germany
| | - Balder Rebmann
- Faculty of Biology II, University of Freiburg, 79104, Freiburg, Germany
- Signalling Research Centres BIOSS and CIBSS, University of Freiburg, 79104, Freiburg, Germany
| | - Matthias Tonn
- Faculty of Biology II, University of Freiburg, 79104, Freiburg, Germany
- Signalling Research Centres BIOSS and CIBSS, University of Freiburg, 79104, Freiburg, Germany
| | - Ivo C Schirmeister
- Faculty of Biology II, University of Freiburg, 79104, Freiburg, Germany
- Signalling Research Centres BIOSS and CIBSS, University of Freiburg, 79104, Freiburg, Germany
| | - Sarah Wehrle
- Faculty of Biology II, University of Freiburg, 79104, Freiburg, Germany
- Signalling Research Centres BIOSS and CIBSS, University of Freiburg, 79104, Freiburg, Germany
| | - Jan Becker
- Faculty of Biology II, University of Freiburg, 79104, Freiburg, Germany
- Signalling Research Centres BIOSS and CIBSS, University of Freiburg, 79104, Freiburg, Germany
| | - Gabriel J Zea Jimenez
- Faculty of Biology II, University of Freiburg, 79104, Freiburg, Germany
- Signalling Research Centres BIOSS and CIBSS, University of Freiburg, 79104, Freiburg, Germany
| | - Sebastian Hook
- Faculty of Biology II, University of Freiburg, 79104, Freiburg, Germany
- Signalling Research Centres BIOSS and CIBSS, University of Freiburg, 79104, Freiburg, Germany
| | - Sarah Jäger
- Faculty of Biology II, University of Freiburg, 79104, Freiburg, Germany
- Signalling Research Centres BIOSS and CIBSS, University of Freiburg, 79104, Freiburg, Germany
| | - Melissa Klenzendorf
- Faculty of Biology II, University of Freiburg, 79104, Freiburg, Germany
- Signalling Research Centres BIOSS and CIBSS, University of Freiburg, 79104, Freiburg, Germany
| | - Mateo Laskowski
- Faculty of Biology II, University of Freiburg, 79104, Freiburg, Germany
- Signalling Research Centres BIOSS and CIBSS, University of Freiburg, 79104, Freiburg, Germany
| | - Alexander Kaier
- Faculty of Biology II, University of Freiburg, 79104, Freiburg, Germany
- Signalling Research Centres BIOSS and CIBSS, University of Freiburg, 79104, Freiburg, Germany
| | - Gerhard Pütz
- University Medical Center Freiburg, Institute for Clinical Chemistry, 79106, Freiburg, Germany
| | - Matias D Zurbriggen
- Institute of Synthetic Biology and CEPLAS, Heinrich Heine University Düsseldorf, 40225, Düsseldorf, Germany
| | - Wilfried Weber
- Faculty of Biology II, University of Freiburg, 79104, Freiburg, Germany
- Signalling Research Centres BIOSS and CIBSS, University of Freiburg, 79104, Freiburg, Germany
- Spemann Graduate School of Biology and Medicine (SGBM), University of Freiburg, 79104, Freiburg, Germany
| | - Maximilian Hörner
- Faculty of Biology II, University of Freiburg, 79104, Freiburg, Germany
- Signalling Research Centres BIOSS and CIBSS, University of Freiburg, 79104, Freiburg, Germany
| | - Hanna J Wagner
- Faculty of Biology II, University of Freiburg, 79104, Freiburg, Germany
- Signalling Research Centres BIOSS and CIBSS, University of Freiburg, 79104, Freiburg, Germany
- Department of Biosystems Science and Engineering - D-BSSE, ETH Zurich, Basel, 4058, Switzerland
| |
Collapse
|
3
|
Agnolon V, Kiseljak D, Wurm MJ, Wurm FM, Foissard C, Gallais F, Wehrle S, Muñoz-Fontela C, Bellanger L, Correia BE, Corradin G, Spertini F. Designs and Characterization of Subunit Ebola GP Vaccine Candidates: Implications for Immunogenicity. Front Immunol 2020; 11:586595. [PMID: 33250896 PMCID: PMC7672190 DOI: 10.3389/fimmu.2020.586595] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Accepted: 10/13/2020] [Indexed: 11/13/2022] Open
Abstract
The humoral responses of Ebola virus (EBOV) survivors mainly target the surface glycoprotein GP, and anti-GP neutralizing antibodies have been associated with protection against EBOV infection. In order to elicit protective neutralizing antibodies through vaccination a native-like conformation of the antigen is required. We therefore engineered and expressed in CHO cells several GP variants from EBOV (species Zaire ebolavirus, Mayinga variant), including a soluble GP ΔTM, a mucin-like domain-deleted GP ΔTM-ΔMUC, as well as two GP ΔTM-ΔMUC variants with C-terminal trimerization motifs in order to favor their native trimeric conformation. Inclusion of the trimerization motifs resulted in proteins mimicking GP metastable trimer and showing increased stability. The mucin-like domain appeared not to be critical for the retention of the native conformation of the GP protein, and its removal unmasked several neutralizing epitopes, especially in the trimers. The soluble GP variants inhibited mAbs neutralizing activity in a pseudotype transduction assay, further confirming the proteins' structural integrity. Interestingly, the trimeric GPs, a native-like GP complex, showed stronger affinity for antibodies raised by natural infection in EBOV disease survivors rather than for antibodies raised in volunteers that received the ChAd3-EBOZ vaccine. These results support our hypothesis that neutralizing antibodies are preferentially induced when using a native-like conformation of the GP antigen. The soluble trimeric recombinant GP proteins we developed represent a novel and promising strategy to develop prophylactic vaccines against EBOV and other filoviruses.
Collapse
Affiliation(s)
- Valentina Agnolon
- Division of Immunology and Allergy, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland
| | | | | | - Florian M Wurm
- ExcellGene SA, Monthey, Switzerland.,Faculty of Life Sciences, École Polytechnique Fédérale De Lausanne (EPFL), Lausanne, Switzerland
| | - Charlotte Foissard
- Université Paris Saclay, Commissariat à l'Energie Atomique et aux énergies alternatives (CEA), Institut national de recherche pour l'agriculture, l'alimentation et l'environnement (INRAE), Département Médicaments et Technologies pour la Santé (DMTS), SPI, Bagnols-sur-Cèze, France
| | - Fabrice Gallais
- Université Paris Saclay, Commissariat à l'Energie Atomique et aux énergies alternatives (CEA), Institut national de recherche pour l'agriculture, l'alimentation et l'environnement (INRAE), Département Médicaments et Technologies pour la Santé (DMTS), SPI, Bagnols-sur-Cèze, France
| | - Sarah Wehrle
- Laboratory of Protein Design and Immunoengineering, École Polytechnique Fédérale De Lausanne (EPFL), Lausanne, Switzerland
| | - César Muñoz-Fontela
- Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany.,German Center for Infection Research (DZIF), Partner site Hamburg, Hamburg, Germany
| | - Laurent Bellanger
- Université Paris Saclay, Commissariat à l'Energie Atomique et aux énergies alternatives (CEA), Institut national de recherche pour l'agriculture, l'alimentation et l'environnement (INRAE), Département Médicaments et Technologies pour la Santé (DMTS), SPI, Bagnols-sur-Cèze, France
| | - Bruno Emanuel Correia
- Laboratory of Protein Design and Immunoengineering, École Polytechnique Fédérale De Lausanne (EPFL), Lausanne, Switzerland
| | - Giampietro Corradin
- Department of Biochemistry, Université de Lausanne (UNIL), Epalinges, Switzerland
| | - François Spertini
- Division of Immunology and Allergy, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland
| |
Collapse
|
4
|
Dheilly E, Battistello E, Katanayeva N, Sungalee S, Michaux J, Duns G, Wehrle S, Sordet-Dessimoz J, Mina M, Racle J, Farinha P, Coukos G, Gfeller D, Mottok A, Kridel R, Correia BE, Steidl C, Bassani-Sternberg M, Ciriello G, Zoete V, Oricchio E. Cathepsin S Regulates Antigen Processing and T Cell Activity in Non-Hodgkin Lymphoma. Cancer Cell 2020; 37:674-689.e12. [PMID: 32330455 DOI: 10.1016/j.ccell.2020.03.016] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Revised: 11/14/2019] [Accepted: 03/18/2020] [Indexed: 10/24/2022]
Abstract
Genomic alterations in cancer cells can influence the immune system to favor tumor growth. In non-Hodgkin lymphoma, physiological interactions between B cells and the germinal center microenvironment are coopted to sustain cancer cell proliferation. We found that follicular lymphoma patients harbor a recurrent hotspot mutation targeting tyrosine 132 (Y132D) in cathepsin S (CTSS) that enhances protein activity. CTSS regulates antigen processing and CD4+ and CD8+ T cell-mediated immune responses. Loss of CTSS activity reduces lymphoma growth by limiting communication with CD4+ T follicular helper cells while inducing antigen diversification and activation of CD8+ T cells. Overall, our results suggest that CTSS inhibition has non-redundant therapeutic potential to enhance anti-tumor immune responses in indolent and aggressive lymphomas.
Collapse
Affiliation(s)
- Elie Dheilly
- Swiss Institute for Experimental Cancer Research (ISREC), School of Life Sciences, EPFL, Lausanne, 1015 Switzerland; Swiss Cancer Center Leman (SCCL), Lausanne, 1015 Switzerland
| | - Elena Battistello
- Swiss Institute for Experimental Cancer Research (ISREC), School of Life Sciences, EPFL, Lausanne, 1015 Switzerland; Swiss Cancer Center Leman (SCCL), Lausanne, 1015 Switzerland; Department of Computational Biology, University of Lausanne, 1015 Lausanne, Switzerland; Swiss Institute of Bioinformatics (SIB), Lausanne 1015, Switzerland
| | - Natalya Katanayeva
- Swiss Institute for Experimental Cancer Research (ISREC), School of Life Sciences, EPFL, Lausanne, 1015 Switzerland; Swiss Cancer Center Leman (SCCL), Lausanne, 1015 Switzerland
| | - Stephanie Sungalee
- Swiss Institute for Experimental Cancer Research (ISREC), School of Life Sciences, EPFL, Lausanne, 1015 Switzerland; Swiss Cancer Center Leman (SCCL), Lausanne, 1015 Switzerland
| | - Justine Michaux
- Swiss Cancer Center Leman (SCCL), Lausanne, 1015 Switzerland; Ludwig Institute for Cancer Research and Department of Oncology, University of Lausanne, Lausanne, Switzerland; Department of Oncology, University Hospital of Lausanne, Lausanne, Switzerland
| | - Gerben Duns
- Centre for Lymphoid Cancer, BC Cancer Agency, Vancouver, BC, Canada
| | - Sarah Wehrle
- Institute of Bioengineering, EPFL, 1015 Lausanne, Switzerland
| | | | - Marco Mina
- Swiss Cancer Center Leman (SCCL), Lausanne, 1015 Switzerland; Department of Computational Biology, University of Lausanne, 1015 Lausanne, Switzerland; Swiss Institute of Bioinformatics (SIB), Lausanne 1015, Switzerland
| | - Julien Racle
- Swiss Cancer Center Leman (SCCL), Lausanne, 1015 Switzerland; Swiss Institute of Bioinformatics (SIB), Lausanne 1015, Switzerland; Ludwig Institute for Cancer Research and Department of Oncology, University of Lausanne, Lausanne, Switzerland; Department of Oncology, University Hospital of Lausanne, Lausanne, Switzerland
| | - Pedro Farinha
- Centre for Lymphoid Cancer, BC Cancer Agency, Vancouver, BC, Canada
| | - George Coukos
- Swiss Cancer Center Leman (SCCL), Lausanne, 1015 Switzerland; Ludwig Institute for Cancer Research and Department of Oncology, University of Lausanne, Lausanne, Switzerland; Department of Oncology, University Hospital of Lausanne, Lausanne, Switzerland
| | - David Gfeller
- Swiss Cancer Center Leman (SCCL), Lausanne, 1015 Switzerland; Swiss Institute of Bioinformatics (SIB), Lausanne 1015, Switzerland; Ludwig Institute for Cancer Research and Department of Oncology, University of Lausanne, Lausanne, Switzerland; Department of Oncology, University Hospital of Lausanne, Lausanne, Switzerland
| | - Anja Mottok
- Institute of Human Genetics, Ulm University and Ulm University Medical Center, Germany
| | | | - Bruno E Correia
- Swiss Institute of Bioinformatics (SIB), Lausanne 1015, Switzerland; Institute of Bioengineering, EPFL, 1015 Lausanne, Switzerland
| | - Christian Steidl
- Centre for Lymphoid Cancer, BC Cancer Agency, Vancouver, BC, Canada
| | - Michal Bassani-Sternberg
- Swiss Cancer Center Leman (SCCL), Lausanne, 1015 Switzerland; Ludwig Institute for Cancer Research and Department of Oncology, University of Lausanne, Lausanne, Switzerland; Department of Oncology, University Hospital of Lausanne, Lausanne, Switzerland
| | - Giovanni Ciriello
- Swiss Cancer Center Leman (SCCL), Lausanne, 1015 Switzerland; Department of Computational Biology, University of Lausanne, 1015 Lausanne, Switzerland; Swiss Institute of Bioinformatics (SIB), Lausanne 1015, Switzerland
| | - Vincent Zoete
- Swiss Cancer Center Leman (SCCL), Lausanne, 1015 Switzerland; Swiss Institute of Bioinformatics (SIB), Lausanne 1015, Switzerland; Ludwig Institute for Cancer Research and Department of Oncology, University of Lausanne, Lausanne, Switzerland; Molecular Modeling Group, SIB, Lausanne, Switzerland
| | - Elisa Oricchio
- Swiss Institute for Experimental Cancer Research (ISREC), School of Life Sciences, EPFL, Lausanne, 1015 Switzerland; Swiss Cancer Center Leman (SCCL), Lausanne, 1015 Switzerland.
| |
Collapse
|