Publication

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

Publications associées (57)

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Aptamer-Functionalized Interface Nanopores Enable Amino Acid-Specific Peptide Detection

Nako Nakatsuka, Xinyu Zhang, Haiying Hu

Single-molecule proteomics based on nanopore technology has made significant advances in recent years. However, to achieve nanopore sensing with single amino acid resolution, several bottlenecks must be tackled: controlling nanopore sizes with nanoscale pr ...

2024

Recording physiological history of cells with chemical labeling

Kai Johnsson, Julien Hiblot, Ling Hai

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 ...

Amer Assoc Advancement Science2024

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

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

Alexandra Krina Van Hall-Beauvais

Proteins control nearly every facet of life on a molecular level. Proteins are formed from linear strings of amino acids, which fold into three-dimensional structures that can enact functions. Evolution has created highly efficient proteins in diverse fold ...

EPFL2023

A new age in protein design empowered by deep learning

Bruno Emanuel Ferreira De Sousa Correia, Michael Bronstein, Hamed Khakzad, Casper Alexander Goverde, Arne Schneuing, Ilia Igashov

The rapid progress in the field of deep learning has had a significant impact on protein design. Deep learning methods have recently produced a breakthrough in protein structure prediction, leading to the availability of high-quality models for millions of ...

Cambridge2023

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

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 ge ...

EPFL2022

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

Establishing a Ternary System for Optical Monitoring of DNA-Protein Interactions with Single-Walled Carbon Nanotubes

Shang-Jung Wu

DNA-protein interactions lie at the crux of life's essential processes. As such, various technologies have been developed to characterize these interactions. The distinct advantages of these technologies can be leveraged to study different facets of these ...

EPFL2020

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Semiconducting single-walled carbon nanotubes (SWCNTs) are among the few photostable optical emitters that are ideal for sensing, imaging, drug delivery, and monitoring of protein activity. These applications often require strategies for immobilizing prote ...

2020