Publication

Time Scales of Slow Motions in Ubiquitin Explored by Heteronuclear Double Resonance

Publications associées (31)

Fast viral dynamics revealed by microsecond time-resolved cryo-EM

Marcel Drabbels, Ulrich Lorenz, Oliver Florian Harder, Sarah Victoria Barrass

Observing proteins as they perform their tasks has largely remained elusive, which has left our understanding of protein function fundamentally incom- plete. To enable such observations, we have recently proposed a technique that improves the time resoluti ...

Nature Research2023

Single Chip Dynamic Nuclear Polarization Microsystems

Nergiz Sahin Solmaz

Nuclear magnetic resonance (NMR) methods are powerful tools employed in many fields, including physics, chemistry, material science, biology, and medicine. The use of NMR methodologies in an even wider range of applications is often hindered by the relativ ...

EPFL2023

Development of strategies to improve 1H resolution in NMR of solids at 100 kHz magic-angle spinning

Bruno Simões de Almeida

In solid-state NMR, homonuclear dipolar couplings contribute greatly to the broadening of 1H spectral line shapes. Even at the fastest magic-angle spinning rates (MAS) available today [100-150kHz], the linewidths still extend over several hundred Hertz, li ...

EPFL2023

Imaging Radial Distribution Functions of Complex Particles by Relayed Dynamic Nuclear Polarization

Arthur César Pinon, David Lyndon Emsley, Pierrick Berruyer

The physical properties of many modern multi-component materials are determined by their internal microstructure. Tools capable of characterizing complex nanoscale architectures in composite materials are, therefore, essential to design materials with targ ...

2023

Design of an artificial phage-display library based on a new scaffold improved for average stability of the randomized proteins

Ghérici Hassaïne

Scaffold-based protein libraries are designed to be both diverse and rich in functional/folded proteins. However, introducing an extended diversity while preserving stability of the initial scaffold remains a challenge. Here we developed an original approa ...

Nature Portfolio2023

Generative power of a protein language model trained on multiple sequence alignments

Umberto Lupo, Anne-Florence Raphaëlle Bitbol, Damiano Sgarbossa

Computational models starting from large ensembles of evolutionarily related protein sequences capture a representation of protein families and learn constraints associated to protein structure and function. They thus open the possibility for generating no ...

eLIFE SCIENCES PUBL LTD2023

Bridging Native and Intrinsic Structures of Microhydrated Biomolecules by Cold Ion Spectroscopy

Andrei Zviagin

Solving native structures of such large molecules, like biomolecules, is often challenging, particularly due to the potentially infinite number of non-covalent interactions with water. In this thesis, we report the use of cold ion gas-phase action spectros ...

EPFL2023

A Geometric Transformer for Structural Biology: Development and Applications of the Protein Structure Transformer

Lucien Fabrice Krapp

Proteins, the central building blocks of life, play pivotal roles in nearly every biological function. To do so, these macromolecular structures interact with their surrounding environment in complex ways, leading to diverse functional behaviors. The predi ...

EPFL2023

Coordination of protein synthesis and degradation in mammalian cells

Shoujie Sun

The cellular protein levels are determined by protein synthesis and turnover rates. Two processes are involved in the proteome's turnover in proliferating cells: protein degradation and dilution. In theory, maintaining the cellular proteome concentration, ...

EPFL2023

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

Bruno Emanuel Ferreira De Sousa Correia, Stéphane Rosset, Casper Alexander Goverde, Benedict Dieter Gregor Wolf, Hamed Khakzad

De novo protein design enhances our understanding of the principles that govern protein folding and interactions, and has the potential to revolutionize biotechnology through the engineering of novel protein functionalities. Despite recent progress in comp ...

2023

Computational design of dynamic receptor—peptide signaling complexes applied to chemotaxis

Andreas Füglistaler, Aurélien Laurent Jean-Charles Oggier, Mahdi Hijazi, Patrick Daniel Barth, Robert Everett Jefferson, Ana Paola Rico Villarreal

Engineering protein biosensors that sensitively respond to specific biomolecules by triggering precise cellular responses is a major goal of diagnostics and synthetic cell biology. Previous biosensor designs have largely relied on binding structurally well ...

Nature Research2023