Projects: COMBINE Multicellular Modelling
Institutions: Indiana University Bloomington
https://orcid.org/0000-0003-3634-190XExpertise: Computational Biology, Mathematical modelling, Multicellular Modelling, Compucell3D, Virtual Tissues, Model Sharing, Language Standards, Agent-based modelling, Dynamic modelling, Computational Systems Biology, standards, Developmental Biology, Toxicology, Framework Development, Cancer, Immunology, Community Building
Tools: Compucell3D, Antimony, tellurium, SBML, CC3DML
Dr. Glazier’s research focuses on early embryonic development, developmental and chronic toxicity and disease, with more than 100 experimental and computational papers on biological development and developmental diseases (including polycystic kidney disease (ADPKD), tumor growth and vascularization, Age Related Macular Degeneration and diabetic retinopathies, somitogenesis and liver toxicity) and more recently on modeling in-host viral infection and immune response. As part of his work on infection ...
Projects: COMBINE Multicellular Modelling
Institutions: University of Florida
https://orcid.org/0000-0002-4274-656XExpertise: Computational Biology, Biophysics, Biological Simulation
Tools: Compucell3D, Tissue Forge, libRoadrunner, SBML, Antimony, MaBoSS
Rahuman Sheriff is a Senior Project Leader (BioModels) at the European Bioinformatics Institute, European Molecular Biology Laboratory (EMBL-EBI), Hinxton, Cambridge, UK. He interests include mathematical modelling, development of novel tools and resources for building models, immune digital twin, quantitative imaging, single cell systems biology and chemoinformatics. He is one of the editors of Systems Biology Markup Language (SBML).
Projects: Working Group Nicole Radde, SteaPKMod
Institutions: University of Stuttgart
https://orcid.org/0000-0002-5300-0915Currently I focuse on the integration of data into multi-scale models with statistical methods and uncertainty tracking in the research unit QuaLiPerF.
Projects: COVID-19 Disease Map
Institutions: National Institute of Informatics
https://orcid.org/0000-0001-8725-3366Expertise: Bioinformatics, Computational Systems Biology, Curation, Data analysis, Systems Biology
Tools: SBML, Python, Matlab, Systems Biology, Bioinformatics
Projects: COVID-19 Disease Map
Institutions: University of Tübingen
https://orcid.org/0000-0002-0248-6679Projects: COVID-19 Disease Map
Institutions: independent researcher
https://orcid.org/0000-0002-3882-6073Expertise: Data analysis, Bioinformatics, Molecular Biology, Genetics, Neuroscience
Tools: Data Science, R, Cell designer, SBML, Single Cell analysis, Transcriptomics
Projects: COVID-19 Disease Map, Covid-19 Interferon pathway modelling and analysis, Boolean modeling of Parkinson disease map
Institutions: Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg
https://orcid.org/0000-0001-7403-181XExpertise: Machine Learning, Deep Learning, Modeling, Medical microbiology, Molecular Biology
Tools: Python, R, Matlab, Javascript, SBML, Dynamic modelling, microbiology techniques, Shell scripting
Projects: COVID-19 Disease Map
Institutions: University of Tübingen
https://orcid.org/0000-0003-3851-9978Expertise: Curation, Computational Systems Biology, Constraint-based Modelling, Systems Biology
Tools: SBML, Python, cobrapy toolbox, CellDesigner, libSBML, jupyter notebooks
Projects: COVID-19 Disease Map
Institutions: University of Tübingen
https://orcid.org/0000-0002-1240-5553Expertise: Systems Biology, Computational Systems Biology, Databases, Dynamic modelling, Java, Mathematical modelling, Metabolic Engineering, Disease Maps, Curation, Modeling, Data Integration, Constraint-based Modelling, Parameter estimation
Tools: SBML, SBGN, SBGNML, JSBML, Jupyter, Python, cobrapy toolbox, SBSCL, InSilico, Kinetic Modeling
Andreas Dräger is the assistant professor for Computational Systems Biology of Infection and Antimicrobial-Resistant Pathogens at the University of Tübingen in Germany. His group aims to combat the spreading antibiotics resistances by using mathematical modeling and computer simulation of bacterial systems up to entire microbiomes and host-pathogen interactions. In doing so, his group actively contributes to the advancement of various COMBINE standards.
Expertise: Systems Biology, SBML, Java, Python, Machine Learning, Mathematical modelling, SBGN, Curation
Tools: CellDesigner, SBML, SBGN
Projects: Kinetics on the move - Workshop 2016, COVID-19 Disease Map
Institutions: Kinetics on the move Workshop at HITS, Luxembourg Centre for Systems Biomedicine (LCSB)
https://orcid.org/0000-0003-1473-370XExpertise: Data Management, Molecular Biology, Systems Biology, Curation
Tools: SBGN, CellDesigner, MIRIAM, SBML, Data Science
Scientific Project Manager at Luxembourg Centre for Systems Biomedicine, University of Luxembourg http://lcsb.uni.lu
Projects: COVID-19 Disease Map
Institutions: Barcelona Supercomputing Center
https://orcid.org/0000-0002-7696-1241I completed my BSc in Biology and MSc in Cell Biology by the University of Valencia. During my last undergrad year I participated in synthetic biology’s iGEM competition where I dove in the use of models in Biology, which pushed me to pursue a PhD in the Department of Applied Mathematics in the Technical University of Valencia.
My research on Metabolic Engineering of hydrogen in cyanobacteria led me to be visiting researcher at Uppsala University, Denmark Technical University and EMBL Heidelberg. ...
Expertise: Biochemistry, Cell biology, Data analysis, Dynamic modelling, Systems Biology, Image analysis, Genetics, Molecular Biology, R, SBML, Curation, Quantitative Biology, Physical Chemistry
Tools: Biochemistry and protein analysis, Bioinformatics, Systems Biology, SBML, R, ODE, Molecular biology techniques (RNA/DNA/Protein), Genetics, Dynamic modelling, Computational and theoretical biology, CellDesigner, Parameter estimation
Projects: COVID-19 Disease Map
Institutions: Integrative BioInformatics Inc.
https://orcid.org/0000-0001-7979-2386Expertise: Cell physiology, Cell biology, ODE modeling, Human physiology, Kinetics, Tracer Kinetics
Location: Mountain View, CA, USA
Postdoctoral researcher at Luxembourg Centre For Systems Biomedicine (LCSB), University of Luxembourg
Institutions: Latvia University of Agriculture
Expertise: Python, Systems Biology, Dynamic modelling, Mathematical modelling
Tools: COBRA toolbox, cobrapy toolbox, Python, SBML, Copasi, Computational Systems Biology
Lutz Brusch is heading the research group "Spatio-temporal pattern formation in cells and tissues" at the Centre for Information Services and High Performance Computing of TU Dresden, Germany. The group is co-developing the multi-cellular modelling and simulation framework Morpheus (https://morpheus.gitlab.io) and is collaborating with experimental labs on questions of tissue morphogenesis and regeneration.
Projects: Millar group, TiMet, PHYTOCAL: Phytochrome Control of Resource Allocation and Growth in Arabidopsis and in Brassicaceae crops, POP - the Parameter Optimisation Problem, Regulation of flowering time in natural conditions, PlaSMo model repository
Institutions: University of Edinburgh
https://orcid.org/0000-0003-1756-3654Projects: COMBINE Multicellular Modelling
Institutions: Indiana University Bloomington
https://orcid.org/0000-0002-5901-1404I am a multicell and multiscale modeler and member of the Biocomplexity group at Indiana University. The group produces and maintains the multicellular modelling package Compucell3D. I am also a voting member of the USA committee to the International Organization for Standards (ISO) working group on standards in biotechnology and the chairman of a sub-sub group on publishing standards.
Projects: COMBINE Multicellular Modelling
Institutions: University College London (UCL)
https://orcid.org/0000-0001-5963-8576Expertise: Dynamic modelling, Databases, Mathematical modelling, standards, Neuroscience, NeuroML
Projects: MycoSynVac - Engineering Mycoplasma pneumoniae as a broad-spectrum animal vaccine, DigiSal, WURSynBio, INDIE - Biotechnological production of sustainable indole
Institutions: Wageningen University & Research
https://orcid.org/0000-0001-5845-146XExpertise: Metabolic modelling, Systems Biology, Transcriptomics, R, SBML
Associate Professor at Wageningen University & Research
Biochemist currently keeping busy as: Research Data Manager (Vrije Universiteit Amsterdam), Software Engineer (Heidelberg University) and member of the SBML Development Team (Caltech).
Projects: Kinetics on the move - Workshop 2016, Multi-Scale Models for Personalized Liver Function Tests (LiSyM-MM-PLF), FAIRDOM user meeting, COMBINE Multicellular Modelling, FAIRDOM & LiSyM & de.NBI Data Structuring Training
Institutions: Charité University Medicine Berlin, Humboldt-Universität zu Berlin, Humboldt University Berlin
https://orcid.org/0000-0003-1725-179XWe are investigating liver metabolism and function with the help of computational models and methods.
Group Leader Dr. Matthias König
Institute for Theoretical Biology Humboldt-University Berlin Philippstraße 13, 10115 Berlin, Germany phone +49 30 2093-98435 koenigmx@hu-berlin.de https://www.livermetabolism.com
The König group works on computational modeling, data science, data management, bioinformatics methods and machine learning on ...
Projects: de.NBI-SysBio, GenoSysFat, Kinetics on the move - Workshop 2016, Example use cases, COMBINE Multicellular Modelling, GMDS Project Group "FAIRe Dateninfrastrukturen für die Biomedizinische Informatik", COVID-19 related studies and tools in Germany, nfdi4health - German National Research Data Infrastructure for Personal Health Data
Institutions: University of Rostock, University of Greifswald, University Medicine of Greifswald
https://orcid.org/0000-0002-5886-5563I am a computer scientist by training with a specialisation on database and information systems. Since December 2018 I am professor of Medical Informatics at the University Medicine in Greifswald, Germany, at the Institute of Community Medicine. My lab focuses on research data management in biomedicine, data integration across health care providers, and provenance of clinical research data items within clinical information systems. Furthermore, I am actively involved in COMBINE standardisation ...
Projects: SysMO-LAB
Institutions: University of Heidelberg
I am working on a kinetic model of the central metabolism as well as on a genome wide model of Streptococcus pyogenes.
Projects: SUMO
Institutions: University of Stuttgart
Expertise: Mathematical modelling, Data Management, Systems Biology, Parameter estimation
Tools: SBML, ODE, Matlab, Mathematica
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
Projects: COSMIC
Institutions: Beuth University of Applied Sciences Berlin
https://orcid.org/0000-0001-6096-1354Expertise: Mathematical modelling, Data Management, coupling metabolome and environome, rapid sampling experiments, dynamics of biological networks, bioreactor models, Optimal experimental design, Dynamic optimization., Nonlinear Dynamics, Data Integration, Parameter estimation
Tools: SBML, Matlab, Fermentation, Material balance based modeling, stimulus response experiments, evaluation of process dynamics, continuous cultivation, Dynamic modelling
Process engineer, modeling biological systems since 1985.
Projects: STREAM
Institutions: University of Warwick
Systems Biologist specialising in data integration, high-throughput sequence analysis, and evolutionary and comparative analyses.
Projects: COSMIC
Institutions: University of Rostock
biomathematician, PhD student at the University of Rostock, Systems Biology Group Rostock
Projects: TRANSLUCENT
Institutions: Humboldt-Universität zu Berlin
Expertise: Bioinformatics, Data Management
I created this for all SysMo Modellers
http://www.semanticsbml.org/aym Annotate Your Model
There you can annotate your non SBML models with biological terms (MIRIAM annotations). As a cool extra you can view you model source code with inserted biological infomation.
Together with this http://www.semanticsbml.org/semanticSBML you can serach for similar BioModels. The similarity search is based on MIRIAM annotations that are attached to you model. AYM also allows you to create annotations without ...
Expertise: Molecular Biology, Bioinformatics, Mathematical modelling, Reactor models, dynamics of biological networks, Mathematical and statistical modeling, bioreactor models, Dynamics and Control of Biological Networks, Parameter estimation
Tools: Bioinformatics, Computational and theoretical biology, Transcriptomics, Model organisms, Single Cell analysis, SBML, ODE, Linear equations, Matlab, Microarray analysis, linux, Material balance based modeling, stimulus response experiments, DIVA, differential algebraic equations, evaluation of process dynamics, continuous cultivation
I'm an engineer at the MPI Magdeburg and I'm working in the field of mathematical modeling, model verification, parameter identification, model analysis and experimental design. I'm involved in two projects, KOsmoBac and PSYSMO.
Projects: KOSMOBAC
Institutions: Max Planck Institute for Dynamics of Complex Technical Systems
Projects: SysMO-LAB
Institutions: Wageningen University & Research
Expertise: Bioinformatics, Mathematical modelling, Reactor models, dynamics of biological networks.
Tools: Molecular Biology, Cell biology, Computational and theoretical biology, Metabolomics, Model organisms, SBML, ODE, Partial differential equations, Algebraic equations, Linear equations, Copasi, JWS Online, Matlab, Mathematica, SQL, Material balance based modeling
I'm a modeller, specialized in kinetic modeling of biochemical networks. My focus in the SysMO-LAB consortium is on creating models of Lactococcus lactis glycolysis and couple this to other related lactic acid bacteria like Streptococcus pyogenes and Enterococcus faecalis. Besides kinetic modeling, I'm also interested in combining various modeling techniques (genome-scale modeling, qualitative modeling).
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.
Submitter: Sebastian Höpfl
Biological problem addressed: Model Analysis Type
Investigation: 1 hidden item
Study: 1 hidden item
Organisms: No organisms
Models: Compiled SBML models from PEtab yaml file, Exponential Decay PEtab Problem in yaml format
SOPs: No SOPs
Data files: AUC values and parameters of the corresponding ..., Bayesian UQ for experimental data: Code, Posterior distributions, Visualization of marginals, credibility interva...
Snapshots: No snapshots
Kinetic entry 14792 SBML for query http://sabiork.h-its.org/sabioRestWebServices/kineticLaws/14792
Creator: Matthias König
Submitter: Matthias König
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
Stoichiometric model in SBML format using the acetate-aerobic standard scenario.
Please note that SBML was exported using the sbmlwriter class of Metano. This file was not used for the actual analyses.
Creator: Julia Koblitz
Submitter: Julia Koblitz
Model type: Stoichiometric model
Model format: SBML
Environment: Not specified
Organism: Aromatoleum aromaticum
Investigations: Systems biology investigation of aromatic compo...
Studies: Metabolic Modelling
Assays: Metabolic modeling of EbN1
First version of Genome-scale metabolic model (GEM) for reconstraction of flavonoids biosynthetic pathways. This model includes as a chassis , the Pseudomonas Putida GEM (iJN1411) . It includes the metabolic reconstruction of more than 500 flavonoids and more than 500 reactions related to the flavonoid biosynthesis.
Creators: David San León Granado, Juan Nogales, Álvaro Gargantilla Becerra
Submitter: David San León Granado
Model type: Metabolic network
Model format: SBML
Environment: Matlab
Organism: Pseudomonas putida
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
Metabolic model of Sulfolobus solfataricus P2 in the SBML (xml) and metano (txt, sce, fba) format. Scenarios are specific for growth on D-glucose or L-fucose as sole carbon source. Different theoretical routes of L-fucose degradation were modeled (E. coli-like, Xanthomonas-like and lactaldehyde-forming). Highest overall agreement between the model and experimental data was observed for the lactaldehyde-forming route.
Creators: Jacqueline Wolf, Helge Stark, Dietmar Schomburg
Submitter: Jacqueline Wolf
Model type: Metabolic network
Model format: SBML
Environment: Not specified
Organism: Sulfolobus solfataricus
Investigations: L-fucose degradation in Sulfolobus solfataricus P2
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 ...
Creators: Maksim Zakhartsev, Olga Krebs, Irina Medvedeva, Ilya Akberdin, Yuriy Orlov
Submitter: Maksim Zakhartsev
Model type: Metabolic network
Model format: SBML
Environment: Not specified
Organism: Arabidopsis thaliana
Investigations: Metabolic analysis of effects of sucrose transl... and 1 hidden item
Studies: Analysis of central carbon and energy metabolis... and 1 hidden item
Assays: Flux Balance Analysis of multi-compartment meta... and 1 hidden item
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 ...
Creators: Henning Lindhorst, Alexandra-M. Reimers
Submitter: Henning Lindhorst
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
Abstract (Expand)
Authors: Uriel Urquiza-Garcia, Andrew J Millar
Date Published: 20th Mar 2021
Publication Type: Tech report
DOI: 10.1101/2021.03.18.436071
Citation: biorxiv;2021.03.18.436071v1,[Preprint]
Abstract (Expand)
Authors: Chris J. Myers, Gary Bader, Padraig Gleeson, Martin Golebiewski, Michael Hucka, Nicolas Le Novere, David P. Nickerson, Falk Schreiber, Dagmar Waltemath
Date Published: 1st Dec 2017
Publication Type: InProceedings
Citation: 2017 Winter Simulation Conference (WSC),pp.884-895,IEEE
Abstract (Expand)
Authors: Falk Schreiber, Björn Sommer, Gary D. Bader, Padraig Gleeson, Martin Golebiewski, Michael Hucka, Sarah M. Keating, Matthias König, Chris Myers, David Nickerson, Dagmar Waltemath
Date Published: 13th Jul 2019
Publication Type: Journal
Citation: Journal of Integrative Bioinformatics 16(2)
Abstract (Expand)
Authors: Falk Schreiber, Björn Sommer, Tobias Czauderna, Martin Golebiewski, Thomas E. Gorochowski, Michael Hucka, Sarah M. Keating, Matthias König, Chris Myers, David Nickerson, Dagmar Waltemath
Date Published: 29th Jun 2020
Publication Type: Journal
Citation: Journal of Integrative Bioinformatics 0(0)
Abstract (Expand)
Authors: Dagmar Waltemath, Martin Golebiewski, Michael L Blinov, Padraig Gleeson, Henning Hermjakob, Michael Hucka, Esther Thea Inau, Sarah M Keating, Matthias König, Olga Krebs, Rahuman S Malik-Sheriff, David Nickerson, Ernst Oberortner, Herbert M Sauro, Falk Schreiber, Lucian Smith, Melanie I Stefan, Ulrike Wittig, Chris J Myers
Date Published: 29th Jun 2020
Publication Type: Journal
Citation: Journal of Integrative Bioinformatics 0(0)
Abstract (Expand)
Authors: F. Schreiber, G. D. Bader, P. Gleeson, M. Golebiewski, M. Hucka, N. Le Novere, C. Myers, D. Nickerson, B. Sommer, D. Walthemath
Date Published: 12th Feb 2017
Publication Type: Not specified
PubMed ID: 28187405
Citation: J Integr Bioinform. 2016 Dec 18;13(3):289. doi: 10.2390/biecoll-jib-2016-289.
Abstract (Expand)
Author: Matthias König
Date Published: 2016
Publication Type: Not specified
DOI: 10.12688/f1000research.9211.1
Citation: F1000Res 5 : 1736
Abstract (Expand)
Authors: , Jannis Uhlendorf, Timo Lubitz, Marvin Schulz, , Wolfram Liebermeister
Date Published: 17th Nov 2009
Publication Type: Not specified
PubMed ID: 19933161
Citation:
An overview over important lessons from the experience with SBML Level 3 extension for the MultiCellML language.
Creator: Matthias König
Submitter: Matthias König
Written and presented by Dagmar Waltemath (University of Rostock) as part of the Reproducible and Citable Data and Models Workshop in Warnemünde, Germany. September 14th - 16th 2015.
Creators: Natalie Stanford, Dagmar Waltemath
Submitter: Natalie Stanford
Presented by MARTIN SCHARM at SySMO PALs meeting 29-30 November 2012 in Heidelberg
Creators: Olga Krebs, MARTIN SCHARM
Submitter: Olga Krebs