de.NBI Systems Biology Service Center (de.NBI-SysBio)

ScyCode

The aim of the project is bioprospecting, isolation and characterization of novel secondary metabolites, produced by extremophilic microorganisms. The project is dedicated to a poorly investigated problem of antagonistic interactions between extremophilic microorganisms in their communities, namely, to the investigation of the ability of extremophiles to produce secondary metabolites with biocidic, cytotoxic and cytostatic activities. Working out this problem will fulfill an important applied
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The Systems Biology Service Center of de.NBI (de.NBI-SysBio) provides bioinformatics support and a standards-based data management for systems biology projects, with focus on the provenance of experimental results and on the reproducibility of modeling experiments, as well as high-quality curated biochemical data to modelers and experimentalists.
The node concentrates on two tools for the data management in life sciences research: SEEK, a catalogue for storage, registration and exchange of data
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Public showcase and collection of training material

The workshop focuses on the publication, curation, retrieval, and usage of kinetic data from the reaction kinetics database SABIO-RK and on the use of data in modeling. There will be experience reports from scientists who successfully used experimental data to formulate or verify biological hypotheses with the computer, and you will experience how experimental data can be used with computational models.

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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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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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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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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The solution of Flux Balance Analysis (FBA) represents metabolic flux distribution in ZucAt model under light growth conditions. In this solution, (i) the ratio photorespiration / photosynthesis has been fixed to 0.25; and (ii) cyclic electron flow through FQR (ferredoxin-plastoquinone reductase) has been set 0.1 from non-cyclic flow through FRN (ferredoxin-NADP oxidoreductase). Under this constraints, ATP formed by non-cyclic photophosphorylation is not sufficient to fulfill ATP/NADPH ratio for
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The solution of Flux Balance Analysis (FBA) represents metabolic flux distribution in the model under light growth conditions. In this solution, (i) the photorespiration was set to 0; and (ii) cyclic electron flow through FQR (ferredoxin-plastoquinone reductase) has been set of 0.1 of flow through FRN (ferredoxin-NADP oxidoreductase). Under this constraints, ATP is under-produced in plastid and therefore is additionally imported to cytoplasm. Flux through FQR represents cyclic electron flow through
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The solution of Flux Balance Analysis (FBA) represents metabolic flux distribution in ZucAt model under light growth conditions. In this solution, (i) the ratio photorespiration / photosynthesis has been fixed to 0.25; and (ii) cyclic electron flow through FQR (ferredoxin-plastoquinone reductase) has been set 0.5 from non-cyclic flow through FRN (ferredoxin-NADP oxidoreductase). Under this constraints, ATP is over-produced in plastid and a surplus is exported to cytoplasm. Flux through FQR
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The solution of Flux Balance Analysis (FBA) represents metabolic flux distribution in ZucAt model under light growth conditions. In this solution, (i) the ratio photorespiration / photosynthesis has been fixed to 0.25; (ii) and ATP transport between plastid and cytoplasm has been set to 0. The last constraint allows finding the ratio between fluxes through FQR (ferredoxin-plastoquinone reductase) and FRN (ferredoxin-NADP oxidoreductase) under which the ATP balance in plastid becomes self-sufficient
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The solution of Flux Balance Analysis (FBA) represents metabolic flux distribution in ZucAt model under light growth conditions. In this solution, (i) the ratio photorespiration / photosynthesis has been fixed to 0.25; (ii) and cyclic electron flow through FQR (ferredoxin-plastoquinone reductase) has been set to 0. Under this constraints, ATP formed by non-cyclic photophosphorylation is not sufficient to fulfill ATP/NADPH ratio for carbon fixation, therefore plastid imports ATP from cytoplasm.

The solution of Flux Balance Analysis (FBA) represent metabolic flux distribution in the model under dark growth conditions (i.e. constraints)

Flux Balance Analysis (FBA) constraints for light conditions

Flux Balance Analysis (FBA) constraints for dark conditions

The database in ASCII format includes information on compounds and metabolites (trivial name, elemental composition, charge, external database referece, etc) used in the model

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

The database in ASCII format includes information on transformers [reactions, transport steps, polymerizations] (model's identifier, trivial name, EC number, stoichiometric equation, external database referece, activators, belonging to a pathway, etc) used in the model

This is BIOMD0000000005.

The model presents a multi-compartmental (mesophyll, phloem and root) metabolic model of growing Arabidopsis thaliana. The flux balance analysis (FBA) of the model quantifies: sugar metabolism, central carbon and nitrogen metabolism, energy and redox metabolism, proton turnover, sucrose translocation from mesophyll to root and biomass growth under both dark- and light-growth conditions with corresponding growth either on starch (in darkness) or on CO2 (under light). The FBA predicts that
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A Standard Operating Procedure (SOP) is a document consisting of step-by-step information on how to execute a task. An existing SOP may need to just be modified and updated.

This document helps Horizon 2020 beneficiaries make their research data findable, accessible, interoperable and reusable (FAIR), to ensure it is soundly managed. Good research data management is not a goal in itself, but rather the key conduit leading to knowledge discovery and innovation, and to subsequent data and knowledge integration and reuse. Note that these guidelines do not apply to their full extent to actions funded by the ERC. For information and guidance concerning Open Access and the
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Talk given by Maksim Zakhartsev (Hohenheim University, Stuttgart, Germany, member of MOSES, ZucAt and ExtremoPharm projects)

Presentation at the 10th anniversary of SABIO-RK, Heidelberg 2016

During this 3-day course, attendees will learn basic techniques for modeling of biochemical networks including data access and storage due to the FAIR principles. The first day introduces kinetic modeling techniques which will be illustrated and exercised with COPASI. The second day continues with principles of stoichiometric and constraint-based modeling coupled with hands on exercises using CellNetAnalyzer. The third day SABIO-RK is used as a resource for kinetic data and FAIRDOMHub/SEEK is
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During this 3-day course, attendees will learn basic techniques for modeling of biochemical networks including data access and storage due to the FAIR principles. The first day introduces principles of stoichiometric and constraint-based modeling coupled with hands on exercises using CellNetAnalyzer. The second day continues with kinetic modeling techniques which will be illustrated and exercised with COPASI. The third day SABIO-RK is used as a resource for kinetic data and FAIRDOM Hub/SEEK is
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Participants will learn how to structure and share complex data in a Findable, Accessible, Interoperable and Reusable (FAIR) manner. Hands-on sessions, lectures and software demonstrations will provide attendees with the necessary skills to apply components of the FAIRDOM infrastructure in their daily work for interrelating and exchanging data, models and corresponding information.

FAIRDOM is a research infrastructure offering data management support. The SEEK software is designed as registry and
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The 16th conference on Computational Methods in Systems Biology (CMSB 2018) will take place on the 12th to 14th September 2018 in Brno, Czech Republic. Its aim is to bring together researchers from across biological, mathematical, computational, and physical sciences who are interested in the study, modelling, simulation, advanced analysis, and design of biological systems.

CMSB 2018 will be hosted at Faculty of Informatics, Masaryk University, Brno. Brno is the city where the modern genetics has
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Target audience: Wet-lab scientists and people dealing with experimental and/or clinical data for research

Topics include:
- Best practice data structuring (spreadsheets) for experimental and (clinical) samples data
- Comprehensive and unambiguous data description and annotation
- Standard formats and terminologies for data and metadata
- Guidelines for reporting data (Minimum information standards)
- Annotation tools (e.g. RightField: http://www.rightfield.org.uk)
- Using SEEK & FAIRDOMhub
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