Gyrl-like proteins catalyze cyclopropanoid hydrolysis to confer cellular protection

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Related publications (32)

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

Computer-implemented design of peptide:receptor signaling complexes for enhanced chemotaxis

Patrick Daniel Barth, Robert Everett Jefferson

The present invention relates to a computer-implemented method for engineering the interaction between a protein and a cognate peptide that are capable of forming a molecular complex, wherein the method comprises (a) preparing in silico a library of test p ...

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

Synthesis and application of bifunctional hypervalent iodine reagents for peptide modification

Elija Grinhagena

Protein-protein interactions (PPIs) are responsible for regulating many biological processes in human bodies. PPIs often have a large binding site and often interact through an alpha helical segment. Therefore, the inhibition of PPIs can be difficult using ...

EPFL2023

Azide-Containing Hypervalent Iodine Reagents for Biomolecules Functionalization

Raphaël Michel Henri Simonet-Davin

The goal of my PhD was the development of a new method for unselective surface labeling, not substrate-specific, that would give access to direct visualization of any surface interactions. In order to achieve this challenging goal, we wanted to develop a g ...

EPFL2022

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

Deep learning approaches for conformational flexibility and switching properties in protein design

Mahdi Hijazi, Patrick Daniel Barth, Lucas Sebastian Powell-Rudden

Following the hugely successful application of deep learning methods to protein structure prediction, an increasing number of design methods seek to leverage generative models to design proteins with improved functionality over native proteins or novel str ...

2022

Molten globule-like transition state of protein barnase measured with calorimetric force spectroscopy

Sebastian James Davis

Understanding how proteins fold into their native structure is a fundamental problem in biophysics, crucial for protein design. It has been hypothesized that the formation of a molten globule intermediate precedes folding to the native conformation of glob ...

National Academy of Sciences2022

Statistical potentials from the Gaussian scaling behaviour of chain fragments buried within protein globules

Stefano Zamuner

Knowledge-based approaches use the statistics collected from protein data-bank structures to estimate effective interaction potentials between amino acid pairs. Empirical relations are typically employed that are based on the crucial choice of a reference ...

PUBLIC LIBRARY SCIENCE2022

Amplitude and phase reconstruction for Low-Energy Electron Holography of individual proteins

Hannah Julia Ochner

Single-molecule imaging methods are of importance in structural biology, and specifically in the imaging of proteins, since they can elucidate conformational variability and structural changes that might be lost in imaging methods relying on averaging proc ...

EPFL2022

Computationally designed GPCR quaternary structures bias signaling pathway activation

Patrick Daniel Barth, Robert Everett Jefferson

Communication across membranes controls critical cellular processes and is achieved by receptors translating extracellular signals into selective cytoplasmic responses. While receptor tertiary structures can be readily characterized, receptor associations ...

Nature Research2022

AMP-activated Protein Kinase (AMPK): New molecular insights and novel downstream targets

Katyayanee Neopane

AMP-activated Protein Kinase (AMPK) is a central regulator of energy homeostasis and a promising drug target for metabolic disorders. It exists as complexes of three subunits, a catalytic alpha, and two regulatory beta and gamma subunits. The regulation of ...

EPFL2022

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