Publications de Zander Harteveld

Exploring “dark-matter” protein folds using deep learning

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

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

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

WILEY2023

De novo design of protein interactions with learned surface fingerprints

Henning Paul-Julius Stahlberg, Didier Trono, Priscilla Turelli, Charlène Mireille Raymonde Raclot, Sandrine Madeleine Suzanne Georgeon, Beat Fierz, Aaron Simone Petruzzella, Anthony Marchand, Bruno Emanuel Ferreira De Sousa Correia, Elisa Oricchio, Zander Harteveld, Pablo Gainza Cirauqui, Freyr Sverrisson, Andreas Scheck, Sarah Wehrle, Stéphane Rosset, Alexandra Krina Van Hall-Beauvais, Alexandra Teslenko, Jane Marsden, Michael Bronstein, Casper Alexander Goverde, Stephen Michael Buckley, Dongchun Ni, Martin Pacesa

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

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

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, Zander Harteveld, Jaume Bonet Martinez, Fabian Sesterhenn, Che Yang, Stéphane Rosset

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

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

WILEY2021

A Rosetta-based protein design protocol converging to natural sequences

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

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

Wei Sun, Sandrine Madeleine Suzanne Georgeon, Bruno Emanuel Ferreira De Sousa Correia, Zander Harteveld, Andreas Scheck, Stéphane Rosset, 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

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

Bruno Emanuel Ferreira De Sousa Correia, Zander Harteveld, Jaume Bonet Martinez, Fabian Sesterhenn, Andreas Scheck

BackgroundLarge-scale datasets of protein structures and sequences are becoming ubiquitous in many domains of biological research. Experimental approaches and computational modelling methods are generating biological data at an unprecedented rate. The deta ...

2019

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

Bruno Emanuel Ferreira De Sousa Correia, Zander Harteveld

CELL PRESS2019

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

Bruno Emanuel Ferreira De Sousa Correia, Zander Harteveld

Anti-CRISPR proteins are powerful tools for CRISPR-Cas9 regulation; the ability to precisely modulate their activity could facilitate spatiotemporally confined genome perturbations and uncover fundamental aspects of CRISPR biology. We engineered optogeneti ...

NATURE PUBLISHING GROUP2018