Institutions: Humboldt-Universität zu Berlin
I am working at the boundary of wet-labs and mathematical modeling, trying to understand the regulation of the eukaryotic cell cycle. I started working with yeast in a group of Systems Biology (Prof. Edda Klipp, Humboldt University, Berlin). Before that I studied biology, engineering and did research on the nuclear pore complex.
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
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 Traininghttps://orcid.org/0000-0003-1725-179X
We are investigating liver metabolism and function with the help of computational models and methods.
Read more about the LiSyM junior group at: www.livermetabolism.com
Junior Group Leader
Dr. Matthias König
Institute for Theoretical Biology
Invalidenstraße 43, 10117 Berlin, Germany
phone +49 30 2093-8450
The liver is the central metabolic organ of our body playing a crucial role in the clearance of drugs, xenobiotics and numerous metabolites
We will contribute to the LiSyM Research Network an open source, freely available and reproducible multiscale model of the human liver from single cell metabolism to whole liver function. The model will be available in existing standards of systems biology, provide standardized interfaces for data integration and be fully annotated to available biological, medical and computational ontologies. All data, models and source code will be shared within the LiSyM Research Network and made available to
Systems Biology studies the properties and phenotypes that emerge from the interaction of biomolecules where such properties are not obvious from those of the individual molecules. 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