Adding value to fusion proteins through covalent labeling

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As the fundamental machinery orchestrating cellular functions, proteins influence the state of every cell profoundly. As cells exhibit significant variations from one to another, analyzing the proteome on a single-cell level is imperative to unravel their ...

The phenomenon of allostery, a general property in proteins that has been heralded as "the second secret of life" remains elusive to our understanding and even more challenging to incorporate into protein design. One example of allosteric proteins with gre ...

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Over the past two decades, protein S-acylation (often referred to as S-palmitoylation) has emerged as an important regulator of vital signalling pathways. S-Acylation is a reversible post-translational modification that involves the attachment of a fatty a ...

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Recordings of the physiological history of cells provide insights into biological processes, yet obtaining such recordings is a challenge. To address this, we introduce a method to record transient cellular events for later analysis. We designed proteins t ...

In the domain of computational structural biology, predicting protein interactions based on molecular structure remains a pivotal challenge. This thesis delves into this challenge through a series of interconnected studies. The first chapter introduces th ...

Translation elongation plays an important role in regulating protein concentrations in the cell, and dysregulation of this process has been linked to several human diseases. In this study, we use data from ribo-seq experiments to model ribosome densities, ...

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Genetic and cellular drivers of the cellular uptake of SARS-CoV-2 can be screened at high throughput via droplet microfluidics and size-exclusion methods for the analysis of the formation of fusions between cells expressing the virus's spike protein and ce ...

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 ...

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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 ...

Adding value to fusion proteins through covalent labeling

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Development of tools and methods for protein identification: From single molecules to in vivo applications

From Sequence to Dynamics to Function: Computational Design of Allostery and Ligand Selectivity in G-Protein Coupled Receptors

Opportunities and challenges in design and optimization of protein function

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Investigating the intra-molecular and inter-molecular effects of post-translational modifications on intrinsically disordered protein regions and structured protein regions

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Recording physiological history of cells with chemical labeling

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Synergetic Support of Cartilage Homeostasis via Coupled Thermal-Hydrostatic Pressure Stimuli

Microsecond Time-Resolved Cryo-Electron Microscopy

Microsecond time-resolved cryo-electron microscopy

HaloTag-Based Tools for Live-Cell Imaging and Elucidation of Organellar Redox Biology

Computational drug development for membrane protein targets

A new age in protein design empowered by deep learning

De novo designed proteins: a study in engineering novel folds and functions

Screening for drivers of SARS-CoV-2 uptake

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

Peptide-Hypervalent Iodine Reagent Chimeras: Enabling Peptide Functionalization and Macrocyclization

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