Tuure Eelis Hameri

Cette personne n’est plus à l’EPFL

À propos
Confidentialité
Mentions légales

Graph Chatbot

Publications associées (5)

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

Constraint-based metabolic control analysis for rational strain engineering

Ljubisa Miskovic, Vassily Hatzimanikatis, 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

Statistical inference in ensemble modeling of cellular metabolism

Marc-Olivier Boldi, Vassily Hatzimanikatis, Tuure Eelis Hameri

Kinetic models of metabolism can be constructed to predict cellular regulation and devise metabolic engineering strategies, and various promising computational workflows have been developed in recent years for this. Due to the uncertainty in the kinetic pa ...

2019

Towards comprehensive and consistent kinetic models of metabolism under uncertainty

Tuure Eelis Hameri

Metabolism is the sum of the chemical interactions occurring inside a cell that process nutrients into cellular constituents and energy. Research in the recent decades has enabled the characterization of metabolic reaction networks for multiple organisms. ...

EPFL2019

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

Ljubisa Miskovic, Vassily Hatzimanikatis, 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

Page 1 sur 1