Publications by Milenko Tokic | EPFL Graph Search

Large-scale kinetic metabolic models of Pseudomonas putida KT2440 for consistent design of metabolic engineering strategies

Vassily Hatzimanikatis, Ljubisa Miskovic, Milenko Tokic

Background: Pseudomonas putida is a promising candidate for the industrial production of biofuels and biochemicals because of its high tolerance to toxic compounds and its ability to grow on a wide variety of substrates. Engineering this organism for impro ...

2020

Control Theory Concepts for Modeling Uncertainty in Enzyme Kinetics of Biochemical Networks

Vassily Hatzimanikatis, Ljubisa Miskovic, Georgios Savoglidis, Milenko Tokic

Analysis of the dynamic and steady-state properties of biochemical networks hinges on information about the parameters of enzyme kinetics. The lack of experimental data characterizing enzyme activities and kinetics along with the associated uncertainties i ...

2019

Computational studies of industrial hosts for improved production of the 2nd generation of biofuels

Milenko Tokic

In an effort of overcoming the limited availability of fossil energy resources and moving toward a sustainable economy, the focus of the research and development in the area of biofuels has shifted towards developing the 2nd generation of fuels that should ...

EPFL2019

Discovery and Evaluation of Biosynthetic Pathways for the Production of Five Methyl Ethyl Ketone Precursors

Vassily Hatzimanikatis, Milenko Tokic, Ljubisa Miskovic, Meriç Ataman, Noushin Hadadi

The limited supply of fossil fuels and the establishment of new environmental policies shifted research in industry and academia towards sustainable production of the 2nd generation of biofuels, with Methyl Ethyl Ketone (MEK) being one promising fuel candi ...

2018

Rites of passage: requirements and standards for building kinetic models of metabolic phenotypes

Vassily Hatzimanikatis, Ljubisa Miskovic, Georgios Fengos, Milenko Tokic

The overarching ambition of kinetic metabolic modeling is to capture the dynamic behavior of metabolism to such an extent that systems and synthetic biology strategies can reliably be tested in silico. The lack of kinetic data hampers the development of ki ...

Elsevier2015