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Contact
ERA CoBioTech Call Office State Research Agency (AEI) Manuel Sánchez-Blanco
+34 916038447 era-ib@aei.gob.es
Technical helpdesk for the submission system Project Management Juelich Dr. Petra E. Schulte, Irina Kobrin, Dr. Christian Breuer ptj-cobiotech@fz-juelich.de
We can be part of all four of scientific approaches (page 3 of guidelines): synthetic biology, systems biology, use of bioinformatics tools and biotechnological approaches. We can be involved both in topics A and B of the call.
The Computational Systems Biology Group led by Prof. Egils Stalidzans deals with modelling part of Systems Biology and Systems Medicine. The group has experience in several modelling approaches that can be applied depending on the specificity of the task.
1. Kinetic modelling using ordinary differential equations.
Changes of network parameters in time can be analysed by kinetic models that consist from a set of ordinary differential equations. This type of modelling can be applied for metabolic and signalling pathways, protein-protein interaction networks, pharmacokinetic/pharmacodynamic, therapeutic effects and others.
2. Stoichiometric modelling of metabolism.
Stoichiometric modelling approach can be used for analysis of feasible steady states of metabolic networks. That has enabled the development and analysis of genome scale metabolic reconstructions and models. Egils Stalidzans has co-authored the newest version of COBRA software (version 3.0). We use also CobraPy.
3. Boolean modelling.
Boolean modelling is applied when detailed information about interactions of elements in networks is not available and model elements have just “0” or “1” values. This kind of modelling was initially applied for gene regulation networks and Boolean modelling turned out to be highly effective.
Computational Systems Biology Group (https://www.lu.lv/mbi/laboratories/computationalsystemsbiologygroup/) is part of the Institute of Microbiology and Biotechnology (https://www.lu.lv/mbi/) at the University of Latvia (https://www.lu.lv/en/). University of Latvia is one of largest Latvian universities with 13 faculties, about 15 000 students and 20 institutes.
Computational Systems Biology Groups has experience in execution of three biotechnologically oriented ERA-net projects within calls of ERASynBio, ERASysAPP and ERA-CoBioTech. We have supported different consortia them by modelling. University of Latvia has competence to support modellers with specific knowledge as the University has faculties of Biology, Medicine and Computing.