Method for identification of suitable fragmentation sites in a reporter protein

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Computational design of novel protein–protein interactions – An overview on methodological approaches and applications

Bruno Emanuel Ferreira De Sousa Correia, Anthony Marchand, Alexandra Krina Van Hall-Beauvais

Protein–protein interactions (PPIs) govern numerous cellular functions in terms of signaling, transport, defense and many others. Designing novel PPIs poses a fundamental challenge to our understanding of molecular interactions. The capability to robustly ...

2022

Model-based scale-up of a continuously operated consolidated bioprocess based on a microbial consortium for the production of ethanol

David Beat Dempfle

This work demonstrated that consolidated bioprocessing is a promising concept for conversion of lignocellulose to ethanol at industrial scale. CBP offers great cost saving potential, is feasible to be operated continuously and may be scaled up due to exten ...

EPFL2022

De novo developed small cyclic peptides that are orally available

Manuel Leonardo Merz

Cyclic peptides are ring-shaped molecules that emerged as a promising class of therapeutics. While it is often difficult to find small molecule binders for challenging disease targets, cyclic peptides can bind to featureless surfaces or inhibit protein-pro ...

EPFL2022

Synthesis and direct assay of large macrocycle diversities by combinatorial late-stage modification at picomole scale

Christian Heinis, Gerardo Turcatti, Alessandro Angelini, Jonathan Patrice Vesin, Julien Bortoli Chapalay, Manuel Leonardo Merz, Sevan Mleh Habeshian, Mischa Schüttel, Ganesh Kumar Mothukuri, Gontran Sangouard, Cristina Diaz Perlas, Zsolt Bognár

Macrocycles have excellent potential as therapeutics due to their ability to bind challenging targets. However, generating macrocycles against new targets is hindered by a lack of large macrocycle libraries for high-throughput screening. To overcome this, ...

Nature Research2022

Targeting molecular surfaces to engineer novel protein-based immunogens and inhibitors

Sarah Wehrle

Proteins are the basic building blocks necessary for the operation and regulation of virtually all functions in living organisms. Over millions of years, evolution has created a vast repertoire of proteins finely tuned to execute their biological functions ...

EPFL2022

Methods for the generation of large combinatorial macrocycle libraries

Sevan Mleh Habeshian

Macrocycles are an attractive class of molecules due to their good binding properties and yet rather small size that allows, in many cases, crossing membranes to reach intracellular targets. In comparison to classical small molecule drugs, macrocycles are ...

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

Chromatin Proteomics to Study Epigenetics - Challenges and Opportunities

Guido Van Mierlo

Regulation of gene expression is essential for the functioning of all eukaryotic organisms. Understanding gene expression regulation requires determining which proteins interact with regulatory elements in chromatin. MS-based analysis of chromatin has emer ...

AMER SOC BIOCHEMISTRY MOLECULAR BIOLOGY INC2021

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

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

Method for generating variants of a protein

Patrick Daniel Barth

The present relates to a method for generating variants of a protein based on a native protein regulated by allosteric pathway, the method comprising:- i) providing 3D structures of the native protein;- ii) identifying at least one pair of coupled alloster ...

2021

Method for generating variants of a protein

Patrick Daniel Barth

The present relates to a method for generating variants of a protein based on a native protein regulated by allosteric pathway, the method comprising: - i) providing 3D structures of the native protein; - ii) identifying at least one pair of coupled allost ...

2021