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 cellular pathways and eventually of whole cells and organisms are generated as tools for research. ICYSB will provide a hands-on experience in integrating experimentation and mathematical modelling with an emphasis on kinetic modelling of cellular pathways. The course focuses on yeast because the development of the emerging field of Systems Biology requires suitable model systems for data generation.
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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.
Institutions: Universität Konstanz
I studied Life Science (which is similar to chemical biology) at the University of Konstanz and became interested in Bioinformatics, Systems Biology and quantitative analyses during my Master's. In my PhD project I combine experimental analyses with modeling and parameter estimation approaches to quantitatively analyse regulation of apoptosis at the level of the Bcl-2 protein family.
Institutions: University of Tübingen
Trained as a Computer Scientist at the University of Jena, Germany, my interests drifted more and more towards "computing life" during my PhD at Simon Fraser University and the University of British Columbia, Canada. On one hand, that term captures that I got fascinated by the idea to understand life as a form of computation and to describe, reprogram, and reassemble parts of cells as described in many brilliant experiments from a spectrum of disciplines ranging from DNA computing to Synthetic
Institutions: Åbo Akademi University
Butanol producing iNS142, redesigned using RobOKoD.
Creator: Natalie Stanford
Contributor: Natalie Stanford
Model type: Metabolic network
Model format: SBML
Organism: Not specified
Investigations: Designing a new way to predict engineering stra...
Modelling analyses: RobOKoD applied to e.coli for butanol production.
Author: Schaber J.,Lapytsko A.,Flockerzi D.
Date Published: No date defined
Journal: J R Soc Interface
PubMed ID: 24307567
Citation: J R Soc Interface. 2013 Dec 4;11(91):20130971. doi: 10.1098/rsif.2013.0971. Print 2014 Feb 6.
Author: Schaber J.,Baltanas R.,Bush A.,Klipp E.,Colman-Lerner A.
Date Published: 15th Nov 2012
Journal: Mol Syst Biol
PubMed ID: 23149687
Citation: Mol Syst Biol. 2012;8:622. doi: 10.1038/msb.2012.53.