Publications de Zander Harteveld

Exploring “dark-matter” protein folds using deep learning

Pierre Vandergheynst, Bruno Emanuel Ferreira De Sousa Correia, Sandrine Madeleine Suzanne Georgeon, Casper Alexander Goverde, Andreas Loukas, Stéphane Rosset, Zander Harteveld, Alexandra Krina Van Hall-Beauvais

De novo protein design explores uncharted sequence and structure space to generate novel proteins not sampled by evolution. A main challenge in de novo design involves crafting “designable” structural templates to guide the sequence searches toward adoptin ...

2024

Machine Learning in Protein Science De Novo Design of Site-Specific Protein Binders Using Surface Fingerprints

Didier Trono, Henning Paul-Julius Stahlberg, Priscilla Turelli, Bruno Emanuel Ferreira De Sousa Correia, Dongchun Ni, Andreas Scheck, Anthony Marchand, Casper Alexander Goverde, Pablo Gainza Cirauqui, Zander Harteveld

WILEY2023

De novo design of protein interactions with learned surface fingerprints

Didier Trono, Henning Paul-Julius Stahlberg, Beat Fierz, Priscilla Turelli, Bruno Emanuel Ferreira De Sousa Correia, Elisa Oricchio, Sandrine Madeleine Suzanne Georgeon, Dongchun Ni, Andreas Scheck, Michael Bronstein

Physical interactions between proteins are essential for most biological processes governing life. However, the molecular determinants of such interactions have been challenging to understand, even as genomic, proteomic and structural data increase. This k ...

2023

Systems and methods for de novo design of protein interactions with learned surface fingerprints

Andreas Scheck, Michael Bronstein, Anthony Marchand, Pablo Gainza Cirauqui, Zander Harteveld, Sarah Wehrle, Freyr Sverrisson, Alexandra Krina Van Hall-Beauvais

The present application relates to a computer-implemented systems and methods for protein interaction design using surface fingerprints. The method comprises predicting at least one target interface site with high binding propensity, wherein, optionally, t ...

2023

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

Zander Harteveld

The sheer size of the protein sequence space is massive: a protein of 100 residues can have 20^100 possible sequence combinations; and knowing that this exceeds the number of atoms in the universe, the chance of randomly discovering a stable new sequence w ...

EPFL2022

A generic framework for hierarchical de novo protein design

Bruno Emanuel Ferreira De Sousa Correia, Jaume Bonet Martinez, Fabian Sesterhenn, Zander Harteveld, Stéphane Rosset, Che Yang

De novo protein design enables the exploration of novel sequences and structures absent from the natural protein universe. De novo design also stands as a stringent test for our understanding of the underlying physical principles of protein folding and may ...

National Academy of Sciences2022

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

Elisa Oricchio, Sandrine Madeleine Suzanne Georgeon, Andreas Scheck, Aaron Simone Petruzzella, Pablo Gainza Cirauqui, Stéphane Rosset, Zander Harteveld, Sarah Wehrle, Freyr Sverrisson, Alexandra Krina Van Hall-Beauvais

WILEY2021

A Rosetta-based protein design protocol converging to natural sequences

Bruno Emanuel Ferreira De Sousa Correia, Stéphane Rosset, Zander Harteveld, Giulia Sormani

Computational protein design has emerged as a powerful tool capable of identifying sequences compatible with pre-defined protein structures. The sequence design protocols, implemented in the Rosetta suite, have become widely used in the protein engineering ...

AMER INST PHYSICS2021

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

Bruno Emanuel Ferreira De Sousa Correia, Zander Harteveld, Julius Valten Upmeier Zu Belzen

Optogenetic control of CRISPR-Cas9 systems has significantly improved our ability to perform genome perturbations in living cells with high precision in time and space. As new Cas orthologues with advantageous properties are rapidly being discovered and en ...

2021

Computational design of anti-CRISPR proteins with improved inhibition potency

Bruno Emanuel Ferreira De Sousa Correia, Sandrine Madeleine Suzanne Georgeon, Andreas Scheck, Wei Sun, Stéphane Rosset, Zander Harteveld, Julius Valten Upmeier Zu Belzen, Yujia Wang

Anti-CRISPR (Acr) proteins are powerful tools to control CRISPR-Cas technologies. However, the available Acr repertoire is limited to naturally occurring variants. Here, we applied structure-based design on AcrIIC1, a broad-spectrum CRISPR-Cas9 inhibitor, ...

NATURE PUBLISHING GROUP2020