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

The group around Nicole Radde specializes in the modeling, analysis, and simulation of biochemical systems. This especially includes parameter optimization and identification.

The main idea of MIX-UP (MIXed plastics biodegradation and UPcycling using microbial communities) is to showcase a novel approach for plastic recycling and therefore addresses one of the greatest challenges of our time: the establishment of a circular (bio)-economy for plastics. The continuing demand for plastic products, the lack of appropriate recycling and the ubiquitous pollution of the environment with plastic waste pose a global challenge. An ambitious vision and considerable efforts are ...

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 ...

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 ...

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 ...

Public showcase and collection of training material

Research in Systems Biology involves integrating data and knowledge about the dynamic processes in biological systems in order to understand and model them. By connecting fields such as genomics, proteomics, bioinformatics, mathematics, cell biology, genetics, mathematics, engineering and computer sciences, Systems Biology enables discovery of yet unknown principles underlying the functioning of living cells. At the same time, testable and predictive models of complex cellular pathways and ...

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 ...

This study investigates the citations of reproducible vs. not reproducible papers and is based on 328 published models, classified by Tiwari et al. based on their reproducibility are analyzed in this study. Hypothese testing is performed using a flexible Bayesian approach for a complete assessment of posteriors. The approach handels outliers via a non-central t distribution. Results show that reproducible papers are significantly more citet between 2013 and 2020, i.e. 10 years after the introduction ...

Experimental study for hands on session

Motivated by an increasing population and the desire to grow plants more efficiently, attention has turned to the use of Light Emitting Diodes (LEDs) to illuminate plants which are grown indoors. Indoor growing facilities enable closely controlled and mon- itored environmental conditions. More and more of these facilities exchange High Pressure Sodium (HPS) lamps for LED lighting since they provide more efficient lighting and the possibility to control light intensity and quality in order to ...

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 ...

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 ...

Here we will use JERM templates with embedded ontologies to describe and annotate example data

Here we will use JERM templates with embedded ontologies to describe and annotate example data 222

Motivated by an increasing population and the desire to grow plants more efficiently, attention has turned to the use of Light Emitting Diodes (LEDs) to illuminate plants which are grown indoors. Indoor growing facilities enable closely controlled and mon- itored environmental conditions. More and more of these facilities exchange High Pressure Sodium (HPS) lamps for LED lighting since they provide more efficient lighting and the possibility to control light intensity and quality in order to ...

The experimental data of Midazolam, OH-Midazolam, Caffein, Codeine, Norcodeine, Codein-6Glucuronide, Morphine-3Glucuronide and Morphine was analyzed via a Bayesian uncertainty quantification. An underlying model describing the bolus injection, followed by the exponential decay was written in sbml and a PEtab problem was created. The sampling and ensemble creation was conducted with the python toolbox pyPESTO.

For further details, please take a look at the methods section of the paper.

The statistical analysis was performed in a jupyter notebook. This notebook contains the commands for all performed analyses (Statistical_analysis_of_FAIR_citations.ipynb)

The Bayesian Estimation Superseeds the t Test (BEST) method of Kruschke 2013 was used for the Bayesian significance testing. The method was implemented in a python class together with visualization and distributional analysis methods (BEST_method_python_Kruschke2012.py). Also the bayesian multiple comparison analysis can be ...

Raw data of Pseudomonas putida ALE18 whole genome sequencing: Data file 2 of 2. Illumina assembly data of hybrid assembly. Please refer to 'Pseudomonas_putida_ALE18_Illumina_ShortRead_assembly' for datafile 1 of 2.

Raw data of Pseudomonas putida ALE18 whole genome sequencing Data file 1 of 2. Illumina assembly data of hybrid assembly. Please refer to 'Pseudomonas_putida_ALE18_ONTandIllumina_hybrid_assembly' for datafile 2 of 2.

Raw data of Pseudomonas putida CA-3 whole genome sequencing: Data file 2 of 2. Illumina assembly data of hybrid assembly. Please refer to 'Pseudomonas_putida_CA3_Labwildtype_Illumina_ShortRead_assembly' for datafile 1 of 2.

Raw data of Pseudomonas putida CA-3 whole genome sequencing Data file 1 of 2. Illumina assembly data of hybrid assembly. Please refer to 'Pseudomonas_putida_CA3_Labwildtype_ONTandIllumina_hybrid_assembly' for datafile 2 of 2.

Raw data file of P. umsongensis GO16 ttdR KO ALE_Butyrate Whole-Genome Sequencing

Raw data of Whole-Genome Sequencing for P. umsongensis GO16 ttdR KO ALE_Octanoate strain.

Raw data of Whole-Genome Sequencing for P. umsongensis GO16 ttdR KO ALE_Octanoate strain.

The Results of the analysis are structured in three parts:

1. The results of the main analysis
2. The results with a broader prior (Sensitivity analysis)
3. The Results of the multiple period comparison

For each part, full posterior traces for all analysis and visualizations of the paper are avalable.

Furthermore the diagnostics and traces were added for the different analysis. The trace for the mulitple comparison was to large to upload it and is available on request.

The classification in reproducible and not reproducible models was made by Tiwari et al.

Citations were looked up in Scopus, Web of Science and Google Scholar.

The following journals had to be excluded, as Journal Impact Factors (JIF) were missing or papers were discontinued:

• Experientia was closed 1996 and continued as Cellular and Molecular Life Sciences 1997
• The American journal of physiology – split into fields 1977, further splits in 1980 and 1989
• IFAC Proceedings Volumes – last issue ...

This code uses the PEtab problem (written in the yaml file) to perform MCMC sampling with pyPESTO. Afterwards an ensemble is created, that allows to compute the posterior predictive distribution and therefore the credibility intervals for the model output.

The sampling.py scipt of pyPESTO visulize was adjusted for an improved visualization. The used code was also uploaded.

A Conda environment file (.yml) containing the specific version of Python and installed packages with the according versions, ...

Complete posterior distributions for each drug and condition.

The files are in the hdf5 format and contain the complete information of the analysis for a FAIR data sharing.

The parameters A and B were estimated for the function f(x)=x⋅e^(B-Ax) and the AUC was calculated for the decay phase only. For OH-Midazolam the fourth replicate in the 2 weeks condition has an outlier in the measurement after six hours (more than 2SD above the mean of this condition) and was omitted for the AUC calculation as this could not be fitted to an exponential decay.

This is the brusselator model from the COPASI distribution

Please see the Readme file for information regarding the simulation enivronment and file contents.

We recommend to use a virtual environment with a python 3.11 distribution to reproduce our results. Using anaconda and the environment file eulerpi_env.yml, the working virtual environment is set up through the prompt

conda env create -f eulerpi_env.yml

The environment file eulerpi_env.yml contains a human-readable list of all required dependencies. Consequently, these dependencies can also be installed manually.

In addition to this README and the environment file, the downloaded .zip ...

The folder contains the jupyter notebook for the execution of all analyses of the study. The BEST method is used in the notebook and is added in a separate python skript.

There is a class for the BEST method according to Kruschke and a class für the BEST multiple comparison.

A conda environment file with all libraries that are necessary to perform the analysis, including the package version was created. It can be easily installed via conda env create -f pymc_env.yml

The exponential decay model with all parameters, observables and conditions was specified in a yaml file.

This yaml file is converted with yaml2sbml (2020 Jakob Vanhoefer, Marta R. A. Matos, Dilan Pathirana, Yannik Schaelte and Jan Hasenauer) to a PEtab problem, which contains also the SBML model.

The SOP creates a separate SBML model for each drug and condition, as the PEtab problem contains diffrent experimental data for them.

However, the SBML models only differ in their name as for all drugs and conditions, the same exponential decay model was assumed.

The SBMLs are automatically created by yaml2sbml, when the SOP is executed. Therefore, these files are for completeness only and are not necessary to replicate the analysis.

The Folder contains:

• The MCMC and simulation results, as well as the synthetic data of the Chemical Reaction Network model (DoubleDecayIndep)
• The MCMC and simulation results, as well as the synthetic data of the Lotka-Volterra model (LotkaVolterraJoint)

Together with an executable ipynb script (Exe.ipynb) and the MCMC plotting and execution functions (MCMCFunctions.py).

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 ...

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.

There are three files:

• executable.py
• functions.py
• plots.py

The first file leads you through my data creation and processing step by step. You can choose how many of my data you want to use or reproduce by yourself.

The executable-file needs the functions from "functions" and "plots" in order to run correctly.

The openbis tutorial covering all tasks and instructions.

This presentation accompagnies the openbis hands-on tutorial.

The workshop gave an in-depth introduction to data management with SEEK and openBIS, two leading open-source data management solutions. Plenary talks including use cases by "power users" of SEEK and openBIS were complemented by hands-on sessions led by professional data management trainers.

Program Day 1 of the workshop is devoted to the data sharing and dissemination platform SEEK. Day 2 will cover the integrated data management solution openBIS, featuring an Electronic Lab Notebook, Laboratory ...

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 ...

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 ...

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 ...

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 ...

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 ...

Here we collect all the presentations, hands on instructions and documentation for Kinetics on the move Workshop on Data for Computational Modeling

This contains the final version of my thesis as well as the implemented figures as .pgf and .svg files.