Publications de Martin Pacesa | EPFL Graph Search

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

Bruno Emanuel Ferreira De Sousa Correia, Martin Pacesa

Engineering and characterizing proteins can be time-consuming and cumbersome, motivating the development of generalist CRISPR-Cas enzymes1–4 to enable diverse genome editing applications. However, such enzymes have caveats such as an increased risk of off- ...

Springer Science and Business Media LLC2025

Targeting protein-ligand neosurfaces with a generalizable deep learning tool

Sebastian Maerkl, Bruno Emanuel Ferreira De Sousa Correia, Luc Reymond, Sandrine Madeleine Suzanne Georgeon, Philippe Schwaller, Anthony Marchand, Leo Scheller, Arne Schneuing, Stephen Michael Buckley, Martin Pacesa

Molecular recognition events between proteins drive biological processes in living systems1. However, higher levels of mechanistic regulation have emerged, in which protein-protein interactions are conditioned to small molecules2, 3, 4-5. Despite recent ad ...

NATURE PORTFOLIO2025

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

Martin Pacesa

Gene editing has the potential to solve fundamental challenges in agriculture, biotechnology and human health. CRISPR-based gene editors derived from microorganisms, although powerful, often show notable functional tradeoffs when ported into non-native env ...

NATURE PORTFOLIO2025

An atlas of protein homo-oligomerization across domains of life

Bruno Emanuel Ferreira De Sousa Correia, Sandrine Madeleine Suzanne Georgeon, Casper Alexander Goverde, Martin Pacesa, Yoan Désiré Duhoo

Protein structures are essential to understanding cellular processes in molecular detail. While advances in artificial intelligence revealed the tertiary structure of proteins at scale, their quaternary structure remains mostly unknown. We devise a scalabl ...

2024

Computational design of soluble and functional membrane protein analogues

Bruno Emanuel Ferreira De Sousa Correia, Sandrine Madeleine Suzanne Georgeon, Casper Alexander Goverde, Martin Pacesa, Stéphane Rosset

De novo design of complex protein folds using solely computational means remains a substantial challenge1. Here we use a robust deep learning pipeline to design complex folds and soluble analogues of integral membrane proteins. Unique membrane topologies, ...

2024

Past, present, and future of CRISPR genome editing technologies

Martin Pacesa

Genome editing has been a transformative force in the life sciences and human medicine, offering unprecedented opportunities to dissect complex biological processes and treat the underlying causes of many genetic diseases. CRISPR-based technologies, with t ...

Cell Press2024

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