Henning Lindhorst
SEEK ID: https://fairdomhub.org/people/615
Location:
Germany
Expertise: Not specified
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https://orcid.org/0000-0001-9899-2463 
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Microbial strains used in biotechnological industry need to produce their biotechnological products at high yield and at the same time they are desired to be robust to the intrinsic nutrient dynamics of large-scale bioreactors, most noticeably to transient limitations of carbon sources and oxygen. The engineering principles for robustness of metabolism to nutrient dynamics are however not yet well understood. The ROBUSTYEAST project aims to reveal these principles for microbial strain improvement
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Programme: ERASysAPP
Public web page: Not specified
Metabolic networks with gene expression are researched under very different banners with different techniques. For example, there are the dynamic enzyme-cost Flux Balance Analysis (deFBA) [1], conditional Flux Balance Analysis [2], Metabolism and Expression models (ME models) [3], Resource Balance Analysis [4], etc. At their core, these methods can all understood as Resource Allocation Models (RAM) and while investigating their potential and their results, we encountered the problem of sharing
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Creators: Henning Lindhorst, Alexandra-M. Reimers
Contributor: Henning Lindhorst
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Abstract (Expand)
Authors: Henning Lindhorst, Steffen Waldherr, Lucia Sergio,Findeisen Rolf
Date Published: 13th Jun 2017
Journal: Not specified
