Publication

Unconventional roles of nonlipidated LC3 in ERAD tuning and coronavirus infection

Publications associées (29)

On the use of direct-coupling analysis with a reduced alphabet of amino acids combined with super-secondary structure motifs for protein fold prediction

Direct-coupling analysis (DCA) for studying the coevolution of residues in proteins has been widely used to predict the three-dimensional structure of a protein from its sequence. We present RADI/raDIMod, a variation of the original DCA algorithm that grou ...

OXFORD UNIV PRESS2021

Reprogramming G Protein-Coupled Receptor Structure, Function And Signaling By Computational Design

Dániel Kéri

G protein-coupled receptors (GPCRs) are 7-transmembrane alpha-helical integral membrane proteins on which cells heavily rely to receive information regarding their external environment. These receptors are able to transfer information to intracellular down ...

EPFL2021

SPServer: split-statistical potentials for the analysis of protein structures and protein-protein interactions

Jaume Bonet Martinez

BackgroundStatistical potentials, also named knowledge-based potentials, are scoring functions derived from empirical data that can be used to evaluate the quality of protein folds and protein-protein interaction (PPI) structures. In previous works we deco ...

2021

Low-energy electron holography imaging of conformational variability of single-antibody molecules from electrospray ion beam deposition

Klaus Kern, Stephan Rauschenbach, Sabine Abb, Sven Alexander Szilagyi, Hannah Julia Ochner

Imaging of proteins at the single-molecule level can reveal conformational variability, which is essential for the understanding of biomolecules. To this end, a biologically relevant state of the sample must be retained during both sample preparation and i ...

National Academy of Sciences2021

Fast end-to-end learning on protein surfaces

Bruno Emanuel Ferreira De Sousa Correia, Freyr Sverrisson

Proteins' biological functions are defined by the geometric and chemical structure of their 3D molecular surfaces. Recent works have shown that geometric deep learning can be used on mesh-based representations of proteins to identify potential functional s ...

IEEE COMPUTER SOC2021

Repair or Degrade: the Thermodynamic Dilemma of Cellular Protein Quality-Control

Paolo De Los Rios, Bruno Claude Daniel Fauvet, Satyam Tiwari, Mathieu Rebeaud, Pierre Goloubinoff

Life is a non-equilibrium phenomenon. Owing to their high free energy content, the macromolecules of life tend to spontaneously react with ambient oxygen and water and turn into more stable inorganic molecules. A similar thermodynamic picture applies to th ...

FRONTIERS MEDIA SA2021

3D Structure From 2D Microscopy Images Using Deep Learning

Suliana Manley, Christian Sieben

Understanding the structure of a protein complex is crucial in determining its function. However, retrieving accurate 3D structures from microscopy images is highly challenging, particularly as many imaging modalities are two-dimensional. Recent advances i ...

Frontiers Media Sa2021

On the exploration of novel methodological approaches for immunogen design: case studies in influenza and hepatitis C

Andreas Scheck

Proteins are fundamental components in biological systems and crucial for a variety of biological functions. Over the last decades, significant progress in structural biology has facilitated the study of proteins and their interactions with molecular partn ...

EPFL2021

Golgi maturation-dependent glycoenzyme recycling controls glycosphingolipid biosynthesis and cell growth via GOLPH3

Anthony Vocat, Giovanni D'Angelo, Laura Capolupo, Riccardo Rizzo

Glycosphingolipids are important components of the plasma membrane where they modulate the activities of membrane proteins including signalling receptors. Glycosphingolipid synthesis relies on competing reactions catalysed by Golgi-resident enzymes during ...

WILEY2021