Related publications (103)

Generative machine learning produces kinetic models that accurately characterize intracellular metabolic states

Vassily Hatzimanikatis, Ljubisa Miskovic, Michaël Roger Germain Moret

Large omics datasets are nowadays routinely generated to provide insights into cellular processes. Nevertheless, making sense of omics data and determining intracellular metabolic states remains challenging. Kinetic models of metabolism are crucial for int ...
2023

Constraint-based metabolic control analysis for rational strain engineering

Vassily Hatzimanikatis, Ljubisa Miskovic, Meriç Ataman, Tuure Eelis Hameri, Sofia Tsouka

The advancements in genome editing techniques over the past years have rekindled interest in rational metabolic engineering strategies. While Metabolic Control Analysis (MCA) is a well-established method for quantifying the effects of metabolic engineering ...
2021

The effects of model complexity and size on metabolic flux distribution and control: case study in Escherichia coli

Vassily Hatzimanikatis, Georgios Fengos, Tuure Eelis Hameri

Background Significant efforts have been made in building large-scale kinetic models of cellular metabolism in the past two decades. However, most kinetic models published to date, remain focused around central carbon pathways or are built around ad hoc re ...
BMC2021

Spatio-temporal modeling of the crowding conditions and metabolic variability in microbial communities

Vassily Hatzimanikatis, Liliana Angeles Martinez

The metabolic capabilities of the species and the local environment shape the microbial interactions in a community either through the exchange of metabolic products or the competition for the resources. Cells are often arranged in close proximity to each ...
PUBLIC LIBRARY SCIENCE2021

Heat stress destabilizes symbiotic nutrient cycling in corals

Anders Meibom, Nils Rädecker, Claudia Isabella Pogoreutz

Recurrent mass bleaching events are pushing coral reefs worldwide to the brink of ecological collapse. While the symptoms and consequences of this breakdown of the coral–algal symbiosis have been extensively characterized, our understanding of the underlyi ...
2021

Optimization methods and objective functions for analysis of metabolic network models

Zhaleh Hosseini

Computational studies of metabolism aim to systematically analyze the metabolic behaviour of biological systems in different conditions. Genome-scale metabolic network models (GEMs) capture the connection between elements of the network by applying stoichi ...
EPFL2020

Modeling the coupled dynamics of stream metabolism and microbial biomass

Tom Ian Battin, Enrico Bertuzzo, Pier Luigi Segatto

Estimating and interpreting ecosystem metabolism remains an important challenge in stream ecology. Here, we propose a novel approach to model, estimate, and predict multiseasonal patterns of stream metabolism (gross primary production [GPP] and ecosystem r ...
2020

Development of novel tools for imaging of metabolic fluxes in vivo

Tamara Maric

Bioluminescent imaging is a powerful technique that enables imaging in living organisms with high sensitivity, low background signal, low cost and without the need for radioactivity. The emitted photons are produced in the oxidation reaction of luciferin c ...
EPFL2020

Magnetic resonance spectroscopy in the rodent brain: Experts' consensus recommendations

Rolf Gruetter, Lijing Xin, Cristina Ramona Cudalbu, Bernard Lanz

In vivo MRS is a non-invasive measurement technique used not only in humans, but also in animal models using high-field magnets. MRS enables the measurement of metabolite concentrations as well as metabolic rates and their modifications in healthy animals ...
WILEY2020

Kinetic models of metabolism that consider alternative steady-state solutions of intracellular fluxes and concentrations

Vassily Hatzimanikatis, Ljubisa Miskovic, Meriç Ataman, Georgios Fengos, Tuure Eelis Hameri

Large-scale kinetic models are used for designing, predicting, and understanding the metabolic responses of living cells. Kinetic models are particularly attractive for the biosynthesis of target molecules in cells as they are typically better than other t ...
2019

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