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The database in ASCII format includes information on gene (gene models in ATG format, gene definition, catalyzed reactions in the model, external database refeneces, locus information, etc) used in the model
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Created: 21st Dec 2015 at 18:24
Last updated: 4th Jun 2016 at 23:42
Last used: 17th Feb 2019 at 07:38

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Projects: MOSES, ExtremoPharm, ZucAt, GenoSysFat, DigiSal, EraCoBiotech 2 nd call proposal preparation, FAIRDOM & LiSyM & de.NBI Data Structuring Training
Institutions: University of Stuttgart, University of Hohenheim, Norwegian University of Life Sciences, Norwegian University of Science and Technology

Roles: Postdoc
Expertise: yeast, fungi, Metabolomics, Proteomics, Stoichiometric modelling, carbon metabolism, Systems Biology, dynamics and control of biological networks, coupling metabolome and environome, rapid sampling experiments, Biochemistry
Tools: parameter estimation, ODE, HPLC, GC and LC/MS analysis of metabolites, Mass spectrometry (LC-MS/MS), continuous cultivation, Enzyme assay, Material balance based modeling, stimulus response experiments, Chromatography, Fermentation, Matlab, Metabolomics, Biochemistry and protein analysis
I've become a SysMO DB PAL for MOSES project in 2007 being a post-doc in lab of Prof. Matthias Reuss at University of Stuttgart. In the MOSES project, our major efforts were in the experimental data acquisition for dynamic model of primary carbon and anaerobic energy metabolism in yeast. The model implements prediction of perturbations of two types: glucose pulse and temperature jump. We implement “stimulus-response” methodology for the unraveling the dynamic structure of the network and to
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Projects: ZucAt
Institutions: Novosibirsk State University
Expertise: Bioinformatics, Molecular Biology, protein structure
I got my Master’s Degree in Biomathematics, Bioinformatics, and Computational Biology 2007 at Novosibirsk State University (NSU). I am working at Computer Proteomics Laboratory, Institute of Cytology and Genetics SB RAS. We develope computer system to analyze the coding features of functional sites by taking into account the exon structure of the gene, to detect the exons involved in shuffling in protein
evolution, also to design protein-engineering experiments. Tools developed - SitEx http://www-bionet
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ZucAt - Sucrose (from german Zucker) translocation in Arabidopsis thaliana. Sucrose translocation between plant tissues is crucial for growth, development and reproduction of plants. Systemic analysis of this metabolic process and underlying regulatory processes can help to achieve better understanding of carbon distribution within the plant and the formation of phenotypic traits. Sucrose translocation from ‘source’ tissues (e.g. mesophyll) to ‘sink’ tissues (e.g. root) is tightly bound to the
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Programme: de.NBI Systems Biology Service Center (de.NBI-SysBio)
Public web page: Not specified
Organisms: Arabidopsis thaliana
Sucrose translocation between plant tissues is crucial for growth, development and reproduction of plants. Systemic analysis of this metabolic process and underlying regulatory processes can help to achieve better understanding of carbon distribution within the plant and the formation of phenotypic traits. Sucrose translocation from ‘source’ tissues (e.g. mesophyll) to ‘sink’ tissues (e.g. root) is tightly bound to the proton gradient across the membranes. The plant sucrose transporters are grouped
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Snapshots: Snapshot 8, Snapshot 9
we describe a multi-compartmental model consisting of a mesophyll cell with plastid and mitochondrion, a phloem cell, as well as a root cell with mitochondrion. In this model, the phloem was considered as a non-growing transport compartment, the mesophyll compartment was considered as both autotrophic (growing on CO2 under light) and heterotrophic (growing on starch in darkness), and the root was always considered as heterotrophic tissue completely dependent on sucrose supply from the mesophyll
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Person responsible: Maksim Zakhartsev
Snapshots: No snapshots
The multi-compartmental metabolic network of Arabidopsis thaliana was reconstructed and optimized in order to explain growth stoichiometry of the plant both in light and in dark conditions. Balances and turnover of energy (ATP/ADP) and redox (NAD(P)H/NAD(P)) metabolites as well as proton in different compartments were estimated. The model showed that in light conditions, the plastid ATP balance depended on the relationship between fluxes through photorespiration and photosynthesis including both
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Contributor: Maksim Zakhartsev
Biological problem addressed: Metabolic Network
Snapshots: No snapshots
Investigation: Metabolic analysis of effects of sucrose transl...
Study: Analysis of central carbon and energy metabolis...
Organisms: Arabidopsis thaliana
Models: ZucAt: multi-compartment metabolic model of gro...
SOPs: No SOPs
Data files: ZucAt: FBA constraints for dark conditions, ZucAt: FBA constraints for light conditions, ZucAt: FBA solution of the model under dark gro..., ZucAt: FBA solution of the model under light gr..., ZucAt: FBA solution of the model under light gr..., ZucAt: FBA solution of the model under light gr..., ZucAt: FBA solution of the model under light gr..., ZucAt: FBA solution of the model under light gr..., ZucAt: The compound database, ZucAt: The gene database, ZucAt: The stoichiometric matrix of the model, ZucAt: The transformers database, ZucAt: the model documentation