Author

Milenko S. Tokić

École Polytechnique Fédérale de LausanneORCID 0000-0001-8076-4964Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Systems Biology· 2 Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:metabolomics· 2 Organism:bacteria (other)· 1 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Organism:E. coli· 1 Research Focus:gene regulatory network inference· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Ljubiša MiškovićiD· 3 shared Vassily Hatzimanikatis AiD· 3 shared Birgitta E. EbertiD· 1 shared Dário NevesiD· 1 shared Georgios SavoglidisiD· 1 shared Lars M. BlankiD· 1 shared Meriç AtamaniD· 1 shared Noushin HadadiiD· 1 shared

Activity by Year

2018-2020 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 23 mutual co-author links

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3 shared papersSystems Biology

Ljubiša MiškovićORCID

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3 papers

Recent·Most cited

Systems BiologyBiotechnology for BiofuelsPeer-reviewedFeb 28, 2020

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

Milenko S. Tokić, Ljubiša Mišković, Vassily Hatzimanikatis A

The paper develops large-scale kinetic models of Pseudomonas putida to predict metabolic responses and design metabolic engineering strategies for improved biofuel and biochemical production.

48 citations

bacteria (other)metabolomics

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Systems BiologyIndustrial & Engineering Chemistry ResearchPeer-reviewedMay 10, 2019

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

Ljubiša Mišković, Milenko S. Tokić, Georgios Savoglidis, Vassily Hatzimanikatis A

The paper develops a method to model uncertainty in enzyme kinetics by expressing kinetic responses through thermodynamic equilibrium displacements and enzyme concentrations, enabling more efficient parameter sampling for metabolic models.

20 citations

statistical model

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Synthetic BiologyACS Synthetic BiologyPeer-reviewedJul 18, 2018

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

Milenko S. Tokić, Noushin Hadadi, Meriç Ataman…·Vassily Hatzimanikatis A

This paper uses retrobiosynthesis to discover and evaluate novel biosynthetic pathways for producing five MEK precursors in E. coli.

35 citations

E. colimetabolomics

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