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Max Sajitz-Hermstein

Researcher at Max Planck Society

Publications -  9
Citations -  118

Max Sajitz-Hermstein is an academic researcher from Max Planck Society. The author has contributed to research in topics: Metabolic network & Flux balance analysis. The author has an hindex of 5, co-authored 9 publications receiving 99 citations. Previous affiliations of Max Sajitz-Hermstein include University of Erlangen-Nuremberg.

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iReMet-flux: constraint-based approach for integrating relative metabolite levels into a stoichiometric metabolic models

TL;DR: iReMet-Flux paves the wave for mechanistic dissection of the interplay between pathways of primary and secondary metabolisms at a genome-scale level, as well as providing biologically relevant information that is validated with external measurements of net CO2 exchange and biomass production.
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Effects of Varying Nitrogen Sources on Amino Acid Synthesis Costs in Arabidopsis thaliana under Different Light and Carbon-Source Conditions.

TL;DR: The results identify nitrogen supply as a key determinant of amino acid costs, in agreement with experimental evidence, and find that simultaneous uptake of both nitrogen sources can lead to efficient utilization of energy source, which may be the result of evolutionary optimization.
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A novel approach for determining environment-specific protein costs

TL;DR: The results from the association analysis between the costs, levels and well-defined expenses of amino acid synthesis, indicate that the approach not only captures the adjustment made at the switch of conditions, but also could explain the anticipation of resource usage via a global energy-related regulatory mechanism of amino acids and protein synthesis.
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Restricted cooperative games on metabolic networks reveal functionally important reactions.

TL;DR: A novel game-theoretic framework which integrates restricted cooperative games with the outcome of flux balance analysis is proposed and provides a characterization of the robustness and functional centrality for each enzyme involved in a given metabolic network.
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Structural Control of Metabolic Flux

TL;DR: This work introduces structural metabolic control as a framework to examine individual reactions' potential to control metabolic functions, such as biomass production, based on structural modeling, and demonstrates its superior ability to assign “share of control” to individual reactions with respect to metabolic functions and environmental conditions.