Publication

Optimality principles for the analysis of biological processes across scales: From enzyme kinetics to microbiome dynamics

Publications associées (29)

Molecular reconstruction and simulation of the Neuron-Glia-Vasculature system

The outstanding information processing capacity of the brain relies on numerous molecular mechanisms. It is an extremely energy-expensive function, which involves specialization and collaboration of different cell types. A common framework to study the com ...

EPFL2023

Glacier-Fed Stream Biofilms Harbor Diverse Resistomes and Biosynthetic Gene Clusters

Leïla Ezzat, Vincent Henri De Staercke, Tom Ian Battin, Paraskevi Pramateftaki, Hannes Markus Peter, Matteo Tolosano, Michail Styllas, Tyler Joe Kohler, Stylianos Fodelianakis, Massimo Bourquin, Susheel Bhanu Busi, Grégoire Marie Octave Edouard Michoud

Antimicrobial resistance is an omnipresent phenomenon in the anthropogenically influenced ecosystems. However, its role in shaping microbial community dynamics in pristine environments is relatively unknown. ...

AMER SOC MICROBIOLOGY2023

Spatiotemporal Metabolic Liver Zonation and Consequences on Pathophysiology

Felix Naef, Tomaz Martini

Hepatocytes are the main workers in the hepatic factory, managing metabolism of nutrients and xenobiotics, production and recycling of proteins, and glucose and lipid homeostasis. Division of labor between hepatocytes is critical to coordinate complex comp ...

ANNUAL REVIEWS2023

Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems

Colin Neil Jones, Melanie Nicole Zeilinger, Xuan Truong Nghiem, Roland Schwan

Physics-informed machine learning (PIML) is a set of methods and tools that systematically integrate machine learning (ML) algorithms with physical constraints and abstract mathematical models developed in scientific and engineering domains. As opposed to ...

IEEE2023

Bioaccumulation and molecular effects of carbamazepine and methylmercury co-exposure in males of Dreissena polymorpha

Dominique Grandjean, Florian Frédéric Vincent Breider, Claudia Cosio, Nguyên Thiên Kim Lê

Dreissena polymorpha is a bivalve promising for biomonitoring in freshwater ecosystems thanks to its abundance and high filtration activity allowing rapid uptake of toxicants and identification of their negative effects. Nonetheless, we still lack knowledg ...

2023

Homogeneous Environmental Selection Structures the Bacterial Communities of Benthic Biofilms in Proglacial Floodplain Streams

Leïla Ezzat, Tom Ian Battin, Hannes Markus Peter, Jade Brandani, Tyler Joe Kohler, Stylianos Fodelianakis, Massimo Bourquin, Susheel Bhanu Busi, Grégoire Marie Octave Edouard Michoud

Streams draining proglacial floodplains harbor benthic biofilms comprised of diverse microbial communities. These high-mountain ecosystems are rapidly changing with climate warming, and it is therefore critical to better understand the mechanisms underlyin ...

AMER SOC MICROBIOLOGY2023

Towards high-throughput many-body perturbation theory: efficient algorithms and automated workflows

Giovanni Pizzi, Antimo Marrazzo, Miki Bonacci, Junfeng Qiao, Andrea Ferretti

The automation of ab initio simulations is essential in view of performing high-throughput (HT) computational screenings oriented to the discovery of novel materials with desired physical properties. In this work, we propose algorithms and implementations ...

NATURE PORTFOLIO2023

Refining S-acylation: Structure, regulation, dynamics, and therapeutic implications

Françoise Gisou van der Goot Grunberg, Muhammad Umair Anwar

S-acylation is one of the most frequent posttranslational modifications that regulates diverse cellular processes. Anwar and van der Goot discuss the complexity and disease implications of this highly regulated reversible lipidation. ...

Rockefeller University Press2023

Social media and deep learning reveal specific cultural preferences for biodiversity

Devis Tuia

Social media has created new opportunities to map cultural ecosystem services (CES) related to biodiversity at large scales. However, using these novel data to understand people's preferences in relation to these CES remains a challenge. To address this, w ...

2023