Alexandra-M. Reimers
SEEK ID: https://fairdomhub.org/people/638
Location:
Germany
Expertise: Systems Biology, Dynamic optimization., Metabolic Networks
Tools: Not specified
https://orcid.org/0000-0002-5324-3634
Their tagsRelated items
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
This SBML file uses the RAM extension and contains a minimal genome scaled model for Saccharomyces cerevisiae. The model is based of Yeast 6.06 and was published first in A.-M. Reimers Thesis "Understanding metabolic regulation and cellular resource allocation through optimization".
Creators: Henning Lindhorst, Alexandra-M. Reimers
Submitter: Henning Lindhorst
Model type: Stoichiometric model
Model format: SBML
Environment: Not specified
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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
Submitter: Henning Lindhorst
