Sebastian Henkel
Former: PhD student as research associate at the Institute for System Dynamics (ISYS), Universität Stuttgart, Germany. Engineering background→modelling, identification and analyses. Detailed kinetic modelling, identification and analysis of the TCA cycle (tricarboxylic acid cycle, citric acid cycle) and the ETC (electron transport chains, respiratory chains) of Escherichia coli. One of the SysMO-DB pals for SUMO. Now: Industrial affiliation
SEEK ID: https://fairdomhub.org/people/202
Location:
Germany
ORCID: Not specified
Joined: 25th Apr 2009
Expertise: Mathematical modelling, Data Management, Systems Biology, Parameter estimation
Tools: SBML, ODE, Matlab, Mathematica
Roles
PAL
Their tagsRelated items
SysMO is a European transnational funding and research initiative on "Systems Biology of Microorganisms".
The goal pursued by SysMO was to record and describe the dynamic molecular processes going on in unicellular microorganisms in a comprehensive way and to present these processes in the form of computerized mathematical models.
Systems biology will raise biomedical and biotechnological research to a new quality level and contribute markedly to progress in understanding. Pooling European research ...
Projects: BaCell-SysMO, COSMIC, SUMO, KOSMOBAC, SysMO-LAB, PSYSMO, SCaRAB, MOSES, TRANSLUCENT, STREAM, SulfoSys, SysMO DB, SysMO Funders, SilicoTryp, Noisy-Strep
Web page: http://sysmo.net/
"Systems Understanding of Microbial Oxygen responses" (SUMO) investigates how Escherichia coli senses oxygen, or the associated changes in oxidation/reduction balance, via the Fnr and ArcA proteins, how these systems interact with other regulatory systems, and how the redox response of an E. coli population is generated from the responses of single cells. There are five sub-projects to determine system properties and behaviour and three sub-projects to employ different and complementary modelling ...
Programme: SysMO
Public web page: http://www.sysmo.net/index.php?index=55
Submitter: Sebastian Henkel
Investigation: Steady state studies for different oxygen avail...
Assays: No Assays
Goals:
- Understanding the regulatory principles of Escherichia coli’s electron transport chain (ETC) for varying oxygen conditions in glucose-limited continuous cultures (especially regulatory loops via the transcription factors FNR and ArcA).
- Explaining the observed phenomena in the measurement data.
- Predicting unmeasured variables especially of the gene expression regulatory loops.
Means:
- Experiments (chemostat experiments within the aerobiosis scale).
- Kinetic modelling (especially ...
Submitter: Sebastian Henkel
Biological problem addressed: Model Analysis Type
Investigation: Steady state studies for different oxygen avail...
Submitter: Sebastian Henkel
Biological problem addressed: Model Analysis Type
Investigation: Steady state studies for different oxygen avail...
The file contains simulated data of the electron transport chain model (EcoliETC1) for varying parameter values, i.e. a local sensitivity analysis.
Creator: Sebastian Henkel
Submitter: The JERM Harvester
The model describes the electron transport chain (ETC) of Escherichia coli by ordinary differential equations. Also a simplified growth model based on an abstract reducing potential describing the balance of electron donor (glucose) and electron acceptors is coupled to the ETC. The model should reproduce and predict the regulation of the described system for different oxygen availability within the aerobiosis scale (glucose limited continuous culture<=>chemostat). Therefore oxygen is changed ...
Creator: Sebastian Henkel
Submitter: Sebastian Henkel
Model type: Ordinary differential equations (ODE)
Model format: SBML
Environment: JWS Online
Simplified model of the electron-transport chain(s) (ETC) of Escherichia coli and its regulation by ArcA and FNR. The goal is to demonstrate a hypothetical design principle in the regulatory structure (->partly qualitative parameter values). Oxygen is changed slowly (100% aerobiosis at 1000000 time units) thus the basis variable is not the time but the oxygen flux voxi.
Creator: Sebastian Henkel
Submitter: Sebastian Henkel
Model type: Ordinary differential equations (ODE)
Model format: SBML
Environment: Not specified
