Publications de Lucien Fabrice Krapp

PeSTo-Carbs: Geometric Deep Learning for Prediction of Protein-Carbohydrate Binding Interfaces

The Protein Structure Transformer (PeSTo), a geometric transformer, has exhibited exceptional performance in predicting protein-protein binding interfaces and distinguishing interfaces with nucleic acids, lipids, small molecules, and ions. In this study, w ...

Amer Chemical Soc2024

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

Deep Learning-Assisted Single-Molecule Detection of Protein Post-translational Modifications with a Biological Nanopore

Hilal Lashuel, Matteo Dal Peraro, Chan Cao, Lucien Fabrice Krapp, Simon Finn Mayer, Juan Francisco Bada Juarez, Anass Chiki, Pedro José Santana Ribeiro Magalhães

Protein post-translational modifications (PTMs) play a crucial role in countless biological processes, profoundly modulating protein properties on both spatial and temporal scales. Protein PTMs have also emerged as reliable biomarkers for several diseases. ...

Amer Chemical Soc2023

Visualization, Interactive Handling and Simulation of Molecules in Commodity Augmented Reality in Web Browsers Using moleculARweb's Virtual Modeling Kits

Matteo Dal Peraro, Luciano Andres Abriata, Fabio Jose Cortes Rodriguez, Lucien Fabrice Krapp

moleculARweb (https://molecularweb.epfl.ch) began as a website for education and outreach in chemistry and structural biology through augmented reality (AR) content that runs in the web browsers of regular devices like smartphones, tablets, and computers. ...

SWISS CHEMICAL SOC2022

Systems and methods for digital information decoding and data storage in hybrid macromolecules

Aleksandra Radenovic, Matteo Dal Peraro, Chan Cao, Lucien Fabrice Krapp

Systems and methods for data storage and readout using hybrid nucleic acid- polymeric molecules are herein disclosed. A molecular data storage medium is presented comprising a header and a footer, each comprising or consisting of at least one unit of a fir ...

2022

Bacterial nanopores open the future of data storage

Aleksandra Radenovic, Matteo Dal Peraro, Chan Cao, Lucien Fabrice Krapp, Alissa Agerova

In the era of "big data" finding solutions for data storage alternative to those based on silicon or magnetic tapes is an urgent need for our society. The development of polymers that can store information at the molecular level has opened up new opportuni ...

IEEE2022

The role of PTM crosstalks in Httex1 structure, aggregation and membrane interaction

Hilal Lashuel, Matteo Dal Peraro, Luciano Andres Abriata, Lucien Fabrice Krapp, Charlotte Julie Caroline Gehin, Anass Chiki, Driss Boudeffa, Rajasekhar Kolla, Zhidian Zhang

CELL PRESS2022

MoleculARweb: A Web Site for Chemistry and Structural Biology Education through Interactive Augmented Reality out of the Box in Commodity Devices

Matteo Dal Peraro, Luciano Andres Abriata, Fabio Jose Cortes Rodriguez, Lucien Fabrice Krapp

Augmented/virtual realities (ARs/VRs) promise to revolutionize STEM education. However, most easy-to-use tools are limited to static visualizations, which limits the approachable content, whereas more interactive and dynamic alternatives require costly har ...

AMER CHEMICAL SOC2021

Investigating Crosstalk Among PTMs Provides Novel Insight Into the Structural Basis Underlying the Differential Effects of Nt17 PTMs on Mutant Httex1 Aggregation

Hilal Lashuel, Matteo Dal Peraro, Luciano Andres Abriata, Lucien Fabrice Krapp, Anass Chiki, Driss Boudeffa, Iman Rostami, Rajasekhar Kolla, Zhidian Zhang

Post-translational modifications (PTMs) within the first 17 amino acids (Nt17) of the Huntingtin protein (Htt) have been shown to inhibit the aggregation and attenuate the toxicity of mutant Htt proteins in vitro and in various models of Huntington’s disea ...

2021

Decoding Digital Information Stored in Polymer by Nanopore

Aleksandra Radenovic, Matteo Dal Peraro, Chan Cao, Lucien Fabrice Krapp

CELL PRESS2021