Our publications

2026

Machine learning enhanced atom probe tomography analysis

Y. Li; Y. Wei; A. Saxena; M. Kühbach; C. Freysoldt et al. 

Progress in Materials Science

2026

Vol. 156 , p. 101561.

DOI : 10.1016/j.pmatsci.2025.101561

2025

Accurate single-domain scaffolding of three nonoverlapping protein epitopes using deep learning

K. M. Castro; J. Wang; S. Georgeon; B. E. Correia 

Nature Chemical Biology

2025

DOI : 10.1038/s41589-025-02083-z

Mapping the latent CRBN-molecular glue degrader interactome

P. Galli; S. Xiao; Y. Meng; A. Hanzl; A. M. Bendel et al. 

2025

Leveraging protein representations to explore uncharted fold spaces with generative models

B. Correia; Y. Miao; M. Pacesa; S. Georgeon; J. Schmidt et al. 

2025

Probing the energy landscape of α-Synuclein amyloid fibril formation by systematic K-to-Q mutagenesis

A. Kunka; A. Farzadfard; J. A. Larsen; F. Saraceno; R. K. Norrild et al. 

2025

Structure-based Design of Chimeric Influenza Hemagglutinins to Elicit Cross-group Immunity

K. M. Castro Gilabert; R. Ayardulabi; S. Wehrle; H. Cui; S. Georgeon et al. 

2025

Structures of a synthetic antibody selected against and bound to the C‐terminal domain of Clostridium perfringens enterotoxin

C. P. Ogbu; N. Goldbach; M. Pačesa; S. Kapoor; B. E. Correia et al. 

Protein Science

2025

Vol. 34 , num. 10.

DOI : 10.1002/pro.70281

De novo design of phosphorylation-induced protein switches for synthetic signaling in cells

S. Buckley; Y. Miao; M. Idris; P. Lee; L. Scheller et al. 

2025

Applications and properties of computationally designed de novo proteins

M. Pacesa 

Structural Dynamics

2025

75th Annual Meeting of the American Crystallographic Association, Lombard, Illinois, US, 2025-07-18 – 2025-07-23.

p. A175

DOI : 10.1063/4.0000965

One-shot Design of Functional Protein Binders with Bindcraft

M. Pacesa; L. Nickel; C. Schellhaas; J. Schmidt; E. Pyatova et al. 

NATURE

2025

DOI : 10.1038/s41586-025-09429-6

Design of Highly Functional Genome Editors by Modelling Crispr-cas Sequences

J. Ruffolo; S. Nayfach; J. Gallagher; A. Bhatnagar; J. Beazer et al. 

NATURE

2025

DOI : 10.1038/s41586-025-09298-z

Probing the Effect of the Disordered Flank Regions on Amyloid Fibril Growth and Proliferation

J. Aunstrup Larsen; J. H. M. van Gils; S. Ray; M. Dickmanns; S. Wang et al. 

RSC ADVANCES

2025

Vol. 15 , num. 26, p. 20668 – 20681.

DOI : 10.1039/d5ra01654a

Custom CRISPR—Cas9 PAM variants via scalable engineering and machine learning

R. A. Silverstein; N. Kim; A-S. Kroell; R. T. Walton; J. Delano et al. 

Nature

2025

DOI : 10.1038/s41586-025-09021-y

Computationally designed stem-epitope mimetics elicit broadly reactive antibodies

S. Wehrle; A. Scheck; L. Reusch; F. L. Matassoli; S. Georgeon et al. 

2025

Targeting protein-ligand neosurfaces with a generalizable deep learning tool

A. Marchand; S. Buckley; A. Schneuing; M. Pacesa; M. Elia et al. 

NATURE

2025

DOI : 10.1038/s41586-024-08435-4

Towards Conformational Targeting of Alpha-Synuclein Fibrils

A. S. S. Z. M. Sadek / Director(s) : B. E. Ferreira De Sousa Correia; H. Lashuel 

Lausanne: EPFL

2025

p. 197.

DOI : 10.5075/epfl-thesis-10710

Boosting Protein Graph Representations through Static-Dynamic Fusion

P. Guo; B. Ferreira de Sousa Correia; P. Vandergheynst; D. Probst 

Proceedings of the 42nd International Conference on Machine Learning [forthcoming publication]

2025

42nd International Conference on Machine Learning, Vancouver, Canada, 2025-07-13 – 2025-07-19.

Computational design of complex protein folds and soluble analogs of membrane proteins

C. A. Goverde / Director(s) : B. E. Ferreira De Sousa Correia 

Lausanne: EPFL

2025

p. 157.

DOI : 10.5075/epfl-thesis-11287

Computational Design of Protein Switches

S. M. Buckley / Director(s) : B. E. Ferreira De Sousa Correia 

Lausanne: EPFL

2025

p. 182.

DOI : 10.5075/epfl-thesis-11419

2024

The physiological landscape and specificity of antibody repertoires are consolidated by multiple immunizations

L. Csepregi; K. Hoehn; D. Neumeier; J. M. Taft; S. Friedensohn et al. 

eLife

2024

Vol. 13 .

DOI : 10.7554/eLife.92718

A deep mutational scanning platform to characterize the fitness landscape of anti-CRISPR proteins

T. Stadelmann; D. Heid; M. Jendrusch; J. Mathony; S. Aschenbrenner et al. 

Nucleic acids research

2024

Vol. 52 , num. 22.

DOI : 10.1093/nar/gkae1052

Structure-based drug design with equivariant diffusion models

A. Schneuing; C. Harris; Y. Du; K. Didi; A. Jamasb et al. 

NATURE COMPUTATIONAL SCIENCE

2024

DOI : 10.1038/s43588-024-00737-x

Epitope-focused immunogens targeting the hepatitis C virus glycoproteins induce broadly neutralizing antibodies

K. Nagarathinam; A. Scheck; M. Labuhn; L. J. Stroeh; E. Herold et al. 

SCIENCE ADVANCES

2024

Vol. 10 , num. 49.

DOI : 10.1126/sciadv.ado2600

Machine Learning-Enabled Tomographic Imaging of Chemical Short-Range Atomic Ordering

Y. Li; T. Colnaghi; Y. Gong; H. Zhang; Y. Yu et al. 

Advanced Materials

2024

Vol. 36 , num. 44, p. 2407564.

DOI : 10.1002/adma.202407564

FSscore: A Personalized Machine Learning-Based Synthetic Feasibility Score

R. M. Neeser; B. Correia; P. Schwaller 

Chemistry-Methods

2024

Vol. 4 , num. 11, p. e202400024.

DOI : 10.1002/cmtd.202400024

Dual ON/OFF-switch chimeric antigen receptor controlled by two clinically approved drugs

G. M. P. G. Attianesea; S. Shui; E. Cribioli; M. Triboulet; L. Scheller et al. 

Proceedings of the National Academy of Sciences of the United States of America

2024

Vol. 121 , num. 44.

DOI : 10.1073/pnas.2405085121

Exploring “dark-matter” protein folds using deep learning

Z. Harteveld; A. Van Hall-Beauvais; I. Morozova; J. Southern; C. Goverde et al. 

Cell systems

2024

Vol. 15 , num. 10, p. 898 – 910.e5.

DOI : 10.1016/j.cels.2024.09.006

Structures of the Foamy virus fusion protein reveal an unexpected link with the F protein of paramyxo- and pneumoviruses

I. Fernández; F. Bontems; D. Brun; Y. Coquin; C. Goverde et al. 

Science Advances

2024

Vol. 10 , num. 41, p. eado7035.

DOI : 10.1126/sciadv.ado7035

An evolved artificial radical cyclase enables the construction of bicyclic terpenoid scaffolds via an H-atom transfer pathway

D. Chen; X. Zhang; A. A. Vorobieva; R. Tachibana; A. Stein et al. 

Nature chemistry

2024

Vol. 16 , num. 10, p. 1656 – 1664.

DOI : 10.1038/s41557-024-01562-5

3D deep learning for enhanced atom probe tomography analysis of nanoscale microstructures

J. Yu; Z. Wang; A. Saksena; S. Wei; Y. Wei et al. 

Acta Materialia

2024

Vol. 278 , p. 120280.

DOI : 10.1016/j.actamat.2024.120280

Roadmap on data-centric materials science

S. Bauer; P. Benner; T. Bereau; V. Blum; M. Boley et al. 

Modelling and Simulation in Materials Science and Engineering

2024

Vol. 32 , num. 6, p. 063301.

DOI : 10.1088/1361-651X/ad4d0d

Computational design of soluble and functional membrane protein analogues

C. A. Goverde; M. Pacesa; N. Goldbach; L. J. Dornfeld; P. E. Balbi et al. 

Nature

2024

Vol. 631 , num. 8020, p. 449 – 458.

DOI : 10.1038/s41586-024-07601-y

Joint host-pathogen genomic analysis identifies hepatitis B virus mutations associated with human NTCP and HLA class I variation

Z. M. Xu; G. E. Gnouamozi; S. Rueger; P. R. Shea; M. Buti et al. 

American Journal Of Human Genetics

2024

Vol. 111 , num. 6.

DOI : 10.1016/j.ajhg.2024.04.013

Antibody-peptide conjugates deliver covalent inhibitors blocking oncogenic cathepsins

A. S. Petruzzella; M. Bruand; A. Santamaria-Martinez; N. Katanayeva; L. Reymond et al. 

Nature Chemical Biology

2024

DOI : 10.1038/s41589-024-01627-z

Opportunities and challenges in design and optimization of protein function

D. Listov; C. A. Goverde; B. E. Correia; S. J. Fleishman 

Nature Reviews Molecular Cell Biology

2024

DOI : 10.1038/s41580-024-00718-y

Equivariant 3D-conditional diffusion model for molecular linker design

I. Igashov; H. Stärk; C. Vignac; A. Schneuing; V. G. Satorras et al. 

Nature Machine Intelligence

2024

Vol. 6 , num. 4, p. 417 – 427.

DOI : 10.1038/s42256-024-00815-9

A Synthetic Multivalent Lipopeptide Derived from Pam3CSK4 with Irreversible Influenza Inhibition and Immuno-Stimulating Effects

Y. Zhu; L. Wei; A. C-A. Zwygart; P. Gainza; Q. O. Khac et al. 

Small

2024

DOI : 10.1002/smll.202307709

Past, present, and future of CRISPR genome editing technologies

M. Pacesa; O. Pelea; M. Jinek 

Cell

2024

Vol. 187 , num. 5, p. 1076 – 1100.

DOI : 10.1016/j.cell.2024.01.042

An atlas of protein homo-oligomerization across domains of life

H. Schweke; M. Pacesa; T. Levin; C. A. Goverde; P. Kumar et al. 

Cell

2024

Vol. 187 , num. 4.

DOI : 10.1016/j.cell.2024.01.022

Multi-motif scaffolding for de novo pathogen antigen mimetics by deep generative learning

K. M. Castro Gilabert / Director(s) : B. Correia 

Lausanne: EPFL

2024

p. 128.

DOI : 10.5075/epfl-thesis-10640

Predicting protein interactions using geometric deep learning on protein surfaces

F. Sverrisson / Director(s) : B. E. Ferreira De Sousa Correia; M. Bronstein 

Lausanne: EPFL

2024

p. 141.

DOI : 10.5075/epfl-thesis-10271

Chemically disruptable molecule switch and use thereof

P. Gainza Cirauqui; B. E. Correia; L. Tang; A. Marchand; L. Bonati et al. 

Patent number(s) :

  • WO2024133630 (A1)

2024

Engineering novel protein interactions with therapeutic potential using deep learning-guided surface design

A. Marchand / Director(s) : B. E. Ferreira De Sousa Correia 

Lausanne: EPFL

2024

p. 208.

DOI : 10.5075/epfl-thesis-10799

A PD-L1/EGFR bispecific antibody combines immune checkpoint blockade and direct anti-cancer action for an enhanced anti-tumor response

L. Rubio-Perez; R. Lazaro-Gorines; S. L. Harwood; M. Compte; R. Navarro et al. 

Oncoimmunology

2024

Vol. 12 , num. 1, p. 2205336.

DOI : 10.1080/2162402X.2023.2205336

2023

A new age in protein design empowered by deep learning

H. Khakzad; I. Igashov; A. Schneuing; C. Goverde; M. Bronstein et al. 

Cell Systems

2023

Vol. 14 , num. 11, p. 925 – 939.

DOI : 10.1016/j.cels.2023.10.006

Protein-based bandpass filters for controlling cellular signaling with chemical inputs

S. Shui; L. Scheller; B. E. Correia 

Nature Chemical Biology

2023

DOI : 10.1038/s41589-023-01463-7

Deformation response of highly stretchable and ductile graphene kirigami under uniaxial and biaxial tension

P. Shi; Y. Chen; Y. Wei; J. Feng; T. Guo et al. 

Physical Review B

2023

Vol. 108 , num. 13, p. 134105.

DOI : 10.1103/PhysRevB.108.134105

Rational design of small-molecule responsive protein switches

S. Shui; S. Buckley; L. Scheller; B. E. Correia 

Protein Science

2023

Vol. 32 , num. 10, p. e4774.

DOI : 10.1002/pro.4774

Rules and mechanisms governing G protein coupling selectivity of GPCRs

I. Masuho; R. Kise; P. Gainza; E. Von Moo; X. Li et al. 

Cell Reports

2023

Vol. 42 , num. 10, p. 113173.

DOI : 10.1016/j.celrep.2023.113173

Discriminating physiological from non‐physiological interfaces in structures of protein complexes: A community‐wide study

H. Schweke; Q. Xu; G. Tauriello; L. Pantolini; T. Schwede et al. 

PROTEOMICS

2023

Vol. [early access] , p. e2200323.

DOI : 10.1002/pmic.202200323

Rational Design of Chemically Controlled Antibodies and Protein Therapeutics

A. Marchand; L. Bonati; S. Shui; L. Scheller; P. Gainza Cirauqui et al. 

ACS Chemical Biology

2023

Vol. 18 , num. 6, p. 1259 – 1265.

DOI : 10.1021/acschembio.3c00012

De novo protein design by inversion of the AlphaFold structure prediction network

C. Goverde; B. Wolf; H. Khakzad; S. Rosset; B. Correia 

Protein Science

2023

Vol. 36 , num. 6, p. e4653.

DOI : 10.1002/pro.4653

New protein–protein interactions designed by a computer

A. Marchand; P. Gainza Cirauqui 

Nature

2023

DOI : 10.1038/d41586-023-01324-2

De novo design of protein interactions with learned surface fingerprints

P. Gainza Cirauqui; S. Wehrle; A. K. Van Hall-Beauvais; A. Marchand; A. Scheck et al. 

Nature

2023

Vol. 617 , num. 7959, p. 176 – 184.

DOI : 10.1038/s41586-023-05993-x

Multienzyme deep learning models improve peptide de novo sequencing by mass spectrometry proteomics

C. Gueto-Tettay; D. Tang; L. Happonen; M. Heusel; H. Khakzad et al. 

Plos Computational Biology

2023

Vol. 19 , num. 1, p. e1010457.

DOI : 10.1371/journal.pcbi.1010457

Track: Machine Learning in Protein Science De Novo Design of Viral Epitope Mimetics with Non-Regular Structural Features

K. Castro; J. Wang; L. Milles; J. Watson; R. Ragotte et al. 

Protein Science

2023

36th Annual Symposium of the Protein-Society, San Francisco, CA, Jul 07-10, 2022.

De novo designed proteins: a study in engineering novel folds and functions

A. K. Van Hall-Beauvais / Director(s) : B. E. Ferreira De Sousa Correia 

Lausanne: EPFL

2023

p. 183.

DOI : 10.5075/epfl-thesis-11556

2022

Computational design of vaccine immunogens

K. M. Castro; A. Scheck; S. Xiao; B. E. Correia 

Current Opinion In Biotechnology

2022

Vol. 78 , p. 102821.

DOI : 10.1016/j.copbio.2022.102821

Invasive Streptococcal Infection Can Lead to the Generation of Cross-Strain Opsonic Antibodies

T. de Neergaard; A. Blaeckberg; H. Ivarsson; S. Thomasson; V. K. Ahnlide et al. 

Microbiology Spectrum

2022

DOI : 10.1128/spectrum.02486-22

A generic framework for hierarchical de novo protein design

Z. Harteveld; J. Bonet; S. Rosset; C. Yang; F. Sesterhenn et al. 

Proceedings Of The National Academy Of Sciences Of The United States Of America (PNAS)

2022

Vol. 119 , num. 43, p. e2206111119.

DOI : 10.1073/pnas.2206111119

Assessing and enhancing foldability in designed proteins

D. Listov; R. Lipsh-Sokolik; S. Rosset; C. Yang; B. E. Correia et al. 

Protein Science

2022

Vol. 31 , num. 9, p. e4400.

DOI : 10.1002/pro.4400

Programmable DARPin-based receptors for the detection of thrombotic markers

T. Strittmatter; Y. Wang; A. Bertschi; L. Scheller; P. C. Freitag et al. 

Nature Chemical Biology

2022

DOI : 10.1038/s41589-022-01095-3

Antibodies to combat viral infections: development strategies and progress

G. Pantaleo; B. Correia; C. Fenwick; V. S. Joo; L. Perez 

Nature Reviews Drug Discovery

2022

Vol. 21 , p. 676 – 696.

DOI : 10.1038/s41573-022-00495-3

Computational design of novel protein–protein interactions – An overview on methodological approaches and applications

A. Marchand; A. K. Van Hall-Beauvais; B. Correia 

Current Opinion in Structural Biology

2022

Vol. 74 , p. 102370.

DOI : 10.1016/j.sbi.2022.102370

Rational design of protein switches: applications in synthetic biology and cancer immunotherapy

S. Shui / Director(s) : B. E. Ferreira De Sousa Correia 

Lausanne: EPFL

2022

p. 137.

DOI : 10.5075/epfl-thesis-9246

Targeting molecular surfaces to engineer novel protein-based immunogens and inhibitors

S. Wehrle / Director(s) : B. E. Ferreira De Sousa Correia 

Lausanne: EPFL

2022

p. 137.

DOI : 10.5075/epfl-thesis-9141

Novel chemically controlled cellular switches

B. E. Correia; S. Shui; P. Gainza Cirauqui 

Patent number(s) :

  • WO2022156885 (A1)

2022

A method and system for fast end-to-end learning on protein surfaces

M. Bronstein; F. Sverrisson; J. Pierre Feydy; P. Gainza; B. Ferreira De Sousa Correia 

Patent number(s) :

  • WO2022152478 (A1)

2022

Towards automating de novo protein design for novel functionalities: controlling protein folds and protein-protein interactions

Z. Harteveld / Director(s) : B. E. Ferreira De Sousa Correia 

Lausanne: EPFL

2022

p. 213.

DOI : 10.5075/epfl-thesis-9195

2021

Computational design of bioactive protein switches with multi-logics for cell-based therapeutics

S. Shui; P. Gainza; L. Scheller; C. Yang; B. Correia 

Protein Science

2021

p. 37 – 37

De Novo Design of Site-specific Protein Binders Using Surface Fingerprints

S. Wehrle; A. Van Hall-Beauvais; P. Gainza; Z. Harteveld; A. Scheck et al. 

Protein Science

2021

p. 162 – 163

On the use of direct-coupling analysis with a reduced alphabet of amino acids combined with super-secondary structure motifs for protein fold prediction

B. Anton; M. Besalu; O. Fornes; J. Bonet; A. Molina et al. 

Nar Genomics And Bioinformatics

2021

Vol. 3 , num. 2, p. lqab027.

DOI : 10.1093/nargab/lqab027

A Nanoscaffolded Spike-RBD Vaccine Provides Protection against SARS-CoV-2 with Minimal Anti-Scaffold Response

D. Lainšček; T. Fink; V. Forstnerič; I. Hafner-Bratkovič; S. Orehek et al. 

Vaccines

2021

Vol. 9 , num. 5, p. 431.

DOI : 10.3390/vaccines9050431

Optimization of therapeutic antibodies by predicting antigen specificity from antibody sequence via deep learning

D. M. Mason; S. Friedensohn; C. R. Weber; C. Jordi; B. Wagner et al. 

Nature Biomedical Engineering

2021

Vol. 5 , p. 600 – 612.

DOI : 10.1038/s41551-021-00699-9

Modeling Immunity with Rosetta: Methods for Antibody and Antigen Design

C. T. Schoeder; S. Schmitz; J. Adolf-Bryfogle; A. M. Sevy; J. A. Finn et al. 

Biochemistry

2021

Vol. 60 , num. 11, p. 825 – 846.

DOI : 10.1021/acs.biochem.0c00912

Optogenetic control of Neisseria meningitidis Cas9 genome editing using an engineered, light-switchable anti-CRISPR protein

M. D. Hoffmann; J. Mathony; J. U. Zu Belzen; Z. Harteveld; S. Aschenbrenner et al. 

Nucleic Acids Research

2021

Vol. 49 , num. 5, p. e29.

DOI : 10.1093/nar/gkaa1198

A Rosetta-based protein design protocol converging to natural sequences

G. Sormani; Z. Harteveld; S. Rosset; B. Correia; A. Laio 

Journal Of Chemical Physics

2021

Vol. 154 , num. 7, p. 074114.

DOI : 10.1063/5.0039240

SPServer: split-statistical potentials for the analysis of protein structures and protein-protein interactions

J. Aguirre-Plans; A. Meseguer; R. Molina-Fernandez; M. A. Marin-Lopez; G. Jumde et al. 

Bmc Bioinformatics

2021

Vol. 22 , num. 1, p. 4.

DOI : 10.1186/s12859-020-03770-5

Bottom-up de novo design of functional proteins with complex structural features

C. Yang; F. Sesterhenn; J. Bonet; E. A. van Aalen; L. Scheller et al. 

Nature Chemical Biology

2021

Vol. 17 , p. 492 – 500.

DOI : 10.1038/s41589-020-00699-x

On the exploration of novel methodological approaches for immunogen design: case studies in influenza and hepatitis C

A. Scheck / Director(s) : B. E. Ferreira De Sousa Correia 

Lausanne: EPFL

2021

p. 149.

DOI : 10.5075/epfl-thesis-8752

Preclinical development of a humanized chimeric antigen receptor against B-cell maturation antigen for multiple myeloma

L. Perez-Amill; G. Sune; A. Antonana-Vildosola; M. Castella; A. Najjar et al. 

Haematologica

2021

Vol. 106 , num. 1, p. 173 – 184.

DOI : 10.3324/haematol.2019.228577

Fast end-to-end learning on protein surfaces

F. Sverrisson; J. Feydy; B. E. Correia; M. M. Bronstein 

2021 Ieee/Cvf Conference On Computer Vision And Pattern Recognition, Cvpr 2021

2021

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), ELECTR NETWORK, Jun 19-25, 2021.

p. 15267 – 15276

DOI : 10.1109/CVPR46437.2021.01502

2020

Oligomerization Profile of Human Transthyretin Variants with Distinct Amyloidogenicity

A. Frangolho; B. Correia; D. C. Vaz; Z. L. Almeida; R. M. M. Brito 

Molecules

2020

Vol. 25 , num. 23, p. 5698.

DOI : 10.3390/molecules25235698

Designs and Characterization of Subunit Ebola GP Vaccine Candidates: Implications for Immunogenicity

V. Agnolon; D. Kiseljak; M. J. Wurm; F. M. Wurm; C. Foissard et al. 

Frontiers In Immunology

2020

Vol. 11 , p. 586595.

DOI : 10.3389/fimmu.2020.586595

Picometer Resolution Structure of the Coordination Sphere in the Metal-Binding Site in a Metalloprotein by NMR

A. Bertarello; L. Benda; K. J. Sanders; A. J. Pell; M. J. Knight et al. 

Journal Of The American Chemical Society

2020

Vol. 142 , num. 39, p. 16757 – 16765.

DOI : 10.1021/jacs.0c07339

On the prediction of DNA-binding preferences of C2H2-ZF domains using structural models: application on human CTCF

A. Meseguer; F. Arman; O. Fornes; R. Molina-Fernandez; J. Bonet et al. 

Nar Genomics And Bioinformatics

2020

Vol. 2 , num. 3, p. lqaa046.

DOI : 10.1093/nargab/lqaa046

Macromolecular modeling and design in Rosetta: recent methods and frameworks

J. K. Leman; B. D. Weitzner; S. M. Lewis; J. Adolf-Bryfogle; N. Alam et al. 

Nature Methods

2020

Vol. 17 , p. 665 – 680.

DOI : 10.1038/s41592-020-0848-2

De novo protein design enables the precise induction of RSV-neutralizing antibodies

F. Sesterhenn; C. Yang; J. Bonet; J. T. Cramer; X. Wen et al. 

Science

2020

Vol. 368 , num. 6492, p. eaay5051730.

DOI : 10.1126/science.aay5051

Computational design of anti-CRISPR proteins with improved inhibition potency

J. Mathony; Z. Harteveld; C. Schmelas; J. U. zu Belzen; S. Aschenbrenner et al. 

Nature Chemical Biology

2020

Vol. 16 , p. 725 – 730.

DOI : 10.1038/s41589-020-0518-9

Structural basis for recognition of RALF peptides by LRX proteins during pollen tube growth

S. Moussu; C. Broyart; G. Santos-Fernandez; S. Augustin; S. Wehrle et al. 

Proceedings Of The National Academy Of Sciences Of The United States Of America (PNAS)

2020

Vol. 117 , num. 13, p. 7494 – 7503.

DOI : 10.1073/pnas.2000100117

Epitope Mapping and Fine Specificity of Human T and B Cell Responses for Novel Candidate Blood-Stage Malaria Vaccine P27A

K. M. Geiger; D. Guignard; C. Yang; J-P. Bikorimana; B. E. Correia et al. 

Frontiers In Immunology

2020

Vol. 11 , p. 412.

DOI : 10.3389/fimmu.2020.00412

A computationally designed chimeric antigen receptor provides a small-molecule safety switch for T-cell therapy

G. Giordano-Attianese; P. Gainza; E. Gray-Gaillard; E. Cribioli; S. Shui et al. 

Nature Biotechnology

2020

Vol. 38 , p. 426 – 432.

DOI : 10.1038/s41587-019-0403-9

The more the merrier: how homo-oligomerization alters the interactome and function of ribonucleotide reductase

M. J. C. Long; A. Van Hall-Beauvais; Y. Aye 

Current Opinion In Chemical Biology

2020

Vol. 54 , p. 10 – 18.

DOI : 10.1016/j.cbpa.2019.09.003

Immunogen

B. Correia; F. Sesterhenn 

Patent number(s) :

  • WO2020065033 (A1)
  • EP3628678 (A1)

2020

Immunogen

B. Correia; F. Sesterhenn; C. Yang; J. Bonet 

Patent number(s) :

  • JP2022542003 (A)
  • US2022249649 (A1)
  • EP3758004 (A1)
  • CA3145336 (A1)
  • WO2020260910 (A1)

2020

Functional de novo Protein Design for Targeted Vaccines and Synthetic Biology Applications

C. Yang / Director(s) : B. E. Ferreira De Sousa Correia 

Lausanne: EPFL

2020

p. 172.

DOI : 10.5075/epfl-thesis-7545

2019

Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning

P. Gainza; F. Sverrisson; F. Monti; E. Rodolà; D. Boscaini et al. 

Nature Methods

2019

Vol. 17, pages184–192(2020) , p. 184 – 192.

DOI : 10.1038/s41592-019-0666-6

Alternative interaction sites in the influenza A virus nucleoprotein mediate viral escape from the importin-alpha 7 mediated nuclear import pathway

P. Resa-Infante; J. Bonet; S. Thiele; M. Alawi; S. Stanelle-Bertram et al. 

Febs Journal

2019

Vol. 286 , num. 17, p. 3374 – 3388.

DOI : 10.1111/febs.14868

Decrypting interaction fingerprints in protein molecular surfaces

P. Gainza; F. Sverrisson; F. Monti; M. Bronstein; B. Correia 

European Biophysics Journal With Biophysics Letters

2019

Joint 12th EBSA European Biophysics Congress / 10th IUPAP International Conference on Biological Physics (ICBP), Madrid, SPAIN, Jul 20-24, 2019.

p. S224 – S224

rstoolbox – a Python library for large-scale analysis of computational protein design data and structural bioinformatics

J. Bonet; Z. Harteveld; F. Sesterhenn; A. Scheck; B. E. Correia 

BMC Bioinformatics

2019

Vol. 20 , num. 240, p. 240.

DOI : 10.1186/s12859-019-2796-3

Engineered Anti-CRISPR Proteins for Precision Control of CRISPR-Cas9

F. Bubeck; M. D. Hoffmann; Z. Harteveld; S. Aschenbrenner; A. Bietz et al. 

Molecular Therapy

2019

22nd Annual Meeting of the American-Society-of-Gene-and-Cell-Therapy (ASGCT), Washington, DC, Apr 29-May 02, 2019.

p. 297 – 297

Boosting subdominant neutralizing antibody responses with a computationally designed epitope-focused immunogen

J. Munro; F. Sesterhenn; M. Galloux; S. S. Vollers; L. Csepregi et al. 

PLoS Biology

2019

Vol. 17 , num. 2, p. e3000164.

DOI : 10.1371/journal.pbio.3000164

Heterodimeric inactivatable chimeric antigen receptors

G. Coukos; M. Irving; B. Correia; P. Gainza-Cirauqui; G. Giordano Attianese 

Patent number(s) :

  • US2021113615 (A1)
  • EP3774866 (A1)
  • WO2019197676 (A1)

2019

Expanding beyond the natural protein repertoire to engineer targeted vaccines and diagnostics

F. Sesterhenn / Director(s) : B. E. Ferreira De Sousa Correia 

Lausanne: EPFL

2019

p. 150.

DOI : 10.5075/epfl-thesis-7515

2018

Engineered anti-CRISPR proteins for optogenetic control of CRISPR-Cas9

F. Bubeck; M. D. Hoffmann; Z. Harteveld; S. Aschenbrenner; A. Bietz et al. 

Nature Methods

2018

Vol. 15 , num. 11, p. 924 – 927.

DOI : 10.1038/s41592-018-0178-9

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

J. Bonet; S. Wehrle; K. Schriever; C. Yang; A. Billet et al. 

PLoS Computational Biology

2018

Vol. 14 , num. 11, p. e1006623.

DOI : 10.1371/journal.pcbi.1006623

Driving Immune Responses with Synthetic Proteins – Development of De Novo Designed Immunogens to Elicit Respiratory Syncytial Virus Neutralizing Antibodies

F. Sesterhenn; C. Yang; J. Bonet; M. Galloux; X. Wen et al. 

Protein Science

2018

32nd Annual Symposium of the Protein-Society, Boston, MA, Jul 09-12, 2018.

p. 49 – 50

Design and characterization of near-native Ebola GP vaccine candidates: implications for immunogenicity

V. Agnolon; I. Ayadi; J. P. Bikorimana; D. Kiseljak; V. De Vaux et al. 

Swiss Medical Weekly

2018

p. 6S – 7S

Expanding the druggable proteome: Ligand and target discovery by fragment-based screening in cells

C. Parker; A. Galmozzi; Y. Wang; B. Correia; E. Saez et al. 

Abstracts Of Papers Of The American Chemical Society

2018

256th National Meeting and Exposition of the American-Chemical-Society (ACS) – Nanoscience, Nanotechnology and Beyond, Boston, MA, Aug 19-23, 2018.

Structure-based immunogen design – leading the way to the new age of precision vaccines

F. Sesterhenn; J. Bonet; B. E. Correia 

Current Opinion In Structural Biology

2018

Vol. 51 , p. 163 – 169.

DOI : 10.1016/j.sbi.2018.06.002

OFF-switch CAR T cell for safety-enhanced cancer immunotherapy

E. F. Gray-Gaillard; G. G. Attianese; P. Gainza-Cirauqui; S. Vollers; S. Shui et al. 

Cancer Research

2018

Annual Meeting of the American-Association-for-Cancer-Research (AACR), Chicago, IL, Apr 14-18, 2018.

DOI : 10.1158/1538-7445.AM2018-2570

Computational protein design – the next generation tool to expand synthetic biology applications

P. Gainza-Cirauqui; B. Correia 

CURRENT OPINION IN BIOTECHNOLOGY

2018

Vol. 52 , p. 145 – 152.

DOI : 10.1016/j.copbio.2018.04.001

ATTACK, a novel bispecific T cell-recruiting antibody with trivalent EGFR binding and monovalent CD3 binding for cancer immunotherapy

S. Harwood; A. Alvarez-Cienfuegos; N. Nunez-Prado; M. Compte; S. Hernandez-Perez et al. 

OncoImmunology

2018

Vol. 7 , num. 1, p. e1377874.

DOI : 10.1080/2162402X.2017.1377874

Bispecific light T-cell engagers for gene-based immunotherapy of epidermal growth factor receptor (EGFR)-positive malignancies

K. Molgaard; S. Harwood; M. Compte; N. Merino; J. Bonet et al. 

CANCER IMMUNOLOGY IMMUNOTHERAPY

2018

Vol. 67 , num. 8, p. 1251 – 1260.

DOI : 10.1007/s00262-018-2181-5

On the mechanisms of protein interactions: predicting their affinity from unbound tertiary structures

M. Marin-Lopez; J. Planas-Iglesias; J. Aguirre-Plans; J. Bonet; J. Garcia-Garcia et al. 

BIOINFORMATICS

2018

Vol. 34 , num. 4, p. 592 – 598.

DOI : 10.1093/bioinformatics/btx616

2016

InteractoMIX: a suite of computational tools to exploit interactomes in biological and clinical research

D. Poglayen; M. Alejandro Marin-Lopez; J. Bonet; O. Fornes; J. Garcia-Garcia et al. 

Biochemical Society Transactions

2016

Vol. 44 , num. 3, p. 917 – 924.

DOI : 10.1042/Bst20150001

Protein-protein structure prediction by scoring molecular dynamics trajectories of putative poses

E. Sarti; I. Gladich; S. Zamuner; B. E. Correia; A. Laio 

Proteins-Structure Function And Bioinformatics

2016

Vol. 84 , num. 9, p. 1312 – 1320.

DOI : 10.1002/prot.25079

2015

Proof of principle for epitope-focused vaccine design

B. Correia; J. Bates; R. Loomis; C. Carrico; J. Jardine et al. 

Protein Science

2015

29th Annual Symposium of the Protein-Society, Barcelona, SPAIN, JUL 22-25, 2015.

p. 181 – 184

Understanding protein recognition using structural features

M. A. Marin-Lopez; J. Planas-Iglesias; J. Bonet; D. Poglayen; J. Garcia-Garcia et al. 

Protein Science

2015

29th Annual Symposium of the Protein-Society, Barcelona, SPAIN, JUL 22-25, 2015.

p. 245 – 245