Publications associées à An explainability framework for deep learning on chemical reactions exemplified by enzyme-catalysed reaction classification

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

Microorganisms are essential for life on Earth, performing key roles in numerous biological processes. Their influence extends across a wide spectrum, from human health and ecological balance to advancements in biotechnology and industrial applications. Th ...

EPFL2024

Organ-specific biotransformation in salmonids: Insight into intrinsic enzyme activity and biotransformation of three micropollutants

Kristin Schirmer, Juliane Hollender

Aquatic ecosystems continue to be threatened by chemical pollution. To what extent organisms are able to cope with chemical exposure depends on their ability to display mechanisms of defense across different organs. Among these mechanisms, biotransformatio ...

Elsevier2024

Optimal enzyme utilization suggests that concentrations and thermodynamics determine binding mechanisms and enzyme saturations

Vassily Hatzimanikatis, Daniel Robert Weilandt, Asli Sahin

One of the main challenges hampering the development of kinetic models is the lack of kinetic parameters for many enzymatic reactions. Here, the authors introduce a framework to explore the catalytically optimal operating conditions of any complex enzyme m ...

Nature Portfolio2023

Expanding computational biochemistry towards complex and non-natural compounds

Anastasia Sveshnikova

In the beginning was the metabolism. The biochemical processes that make life possible transformed the soup of chemicals into the life on Earth we know today. Since then, living organisms have evolved, and life on Earth has become more complex. Living orga ...

EPFL2023

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

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

Dissecting the role of the asparagine synthesis in acute liver injury

Yu Sun

Amino acids are some of the main building stones of life used in a variety of biological processes, such as protein synthesis, energy metabolism or even as precursors for hormone synthesis. How-ever, some of them also participate and coordinate certain cel ...

EPFL2022

Investigation of Carboxylic Acid Isosteres and Prodrugs for Inhibition of the Human SIRT5 Lysine Deacylase Enzyme

Alexander Lund Nielsen

Sirtuin 5 (SIRT5) is a protein lysine deacylase enzyme that regulates diverse biology by hydrolyzing epsilon-N-carboxyacyllysine posttranslational modifications in the cell. Inhibition of SIRT5 has been linked to potential treatment of several cancers but ...

Wiley-VCH Verlag GmbH2022

Characterization of the electron-accepting part of the organohalide respiration chain of Dehalobacter and Desulfitobacterium

Lorenzo Cimmino

Organohalide respiration (OHR) is a bacterial anaerobic process that use halogenated compounds, e.g. tetrachloroethene (PCE), as terminal electron acceptors. D. restrictus strain PER-K23, an obligate OHR bacterium (OHRB), and D. hafniense strain TCE1, a ba ...

EPFL2022

Modeling non-covalent interactions in condensed phase

Veronika Juraskova

The modeling of non-covalent interactions, solvation effects, and chemical reactions in complex molecular environment is a challenging task. Current state-of-the-art approaches often rely on static computations using implicit solvent models and harmonic ap ...

EPFL2022