VU University Amsterdam

From thermodynamics through kinetics and non equilibrium thermodynamics to control analysis

Chapter on non equilibrium thermodynamics.
The chapter discusses both phenomenological and mechanistic non equilibrium thermodynamics. The phenomenological part has as asset compared to earlier treatments that it also considers the phenomenological stoichiometry as a parameter that may be adjusted by systems to attain optimal performance. In the mechanistic part, this feature of variable stoichiometry and 'slips' as well as redistribution of fluxes over parallel branches of metabolism is discussed.
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A chapter on generalized thermodynamics. The chapter is not specifically about biology although it uses many examples in biology due to the richness of the topic. It deals with the first and second law of thermodynamics, catalysts, and engines. This includes heat engines, heat pumps, and protonmotive ATP synthase.

Most systems biology deals with Life as we know it on this planet (Earth). This project will focus on how (nonsynthetic) Life may differ from mainstream Life. The ultimate focus thereby rests on extraterrestrial Life, but for lack of definitive evidence of this, the project studies Life found under conditions that may be similar to extraterrestrial conditions enabling Life.
The focus is herewith on the systems biology in remote environments on Earth. The project deals both with the systems cell
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This is the FAIRDOM hub for the Make Me My Model part of ISBE.NL.
Various models for ISDBE.NL clients are stored here.

The Integrated Platform for Endocrine Disruptor Risk Assessment (SNAPPER) project will propose solutions based around three core philosophies:
Integrated Science: Integration of knowledge from a complete pipeline of systems biology into a holistic yet mechanistic framework that enhances the understanding both of endocrine biology and of adverse effects due to externally induced disruption of the body’s endocrine system. The pipeline includes in vivo, in vitro, and in silico data resulting both
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Good data and model management improves the longevity and impact of your interdisciplinary research. FAIRDOM offers software and expertise to support you in better managing your interdisciplinary life-science projects, particularly in systems and synthetic biology. If you have never heard of data and model management, or are curious about it, or you are an expert keen to exchange ideas, our user meeting is the place for you!

At our users meeting you can:

- Learn why data and model management is
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Pesticides, plastics, cosmetics, electrical transformers and many other products contain Endocrine disruptors (EDCs). EDCs interfere with natural hormone functions and may cause the disease.

Microbial strains used in biotechnological industry need to produce their biotechnological products at high yield and at the same time they are desired to be robust to the intrinsic nutrient dynamics of large-scale bioreactors, most noticeably to transient limitations of carbon sources and oxygen. The engineering principles for robustness of metabolism to nutrient dynamics are however not yet well understood. The ROBUSTYEAST project aims to reveal these principles for microbial strain improvement
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IMOMESIC - Integrating Modelling of Metabolism and Signalling towards an Application in Liver Cancer

One of the most challenging questions in cancer research is currently the interconnection of metabolism and signalling. An understanding of mechanisms that facilitate the physiological shift towards a proliferative metabolism in cancer cells is considered a major upcoming topic in oncology and is a key activity for future drug development. Due to the complexity of interrelations, a systems biology
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Within the e:Bio - Innovationswettbewerb Systembiologie (Federal Ministry of Education and Research (BMBF)), the SulfoSYSBIOTECH consortium (10 partners), aim to unravel the complexity and regulation of the carbon metabolic network of the thermoacidophilic archaeon Sulfolobus solfataricus (optimal growth at 80°C and pH 3) in order to provide new catalysts ‘extremozymes’ for utilization in White Biotechnology.

Based on the available S. solfataricus genome scale metabolic model (Ulas et al., 2012)
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Designer microbial communities for fermented milk products: A Systems Biology Approach

Comparative Systems Biology: Lactic Acid Bacteria

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
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MOSES (Micro Organism Systems biology: Energy and Saccharomyces cerevisiae) develops a new Systems Biology approach, which is called 'domino systems biology'. It uses this to unravel the role of cellular free energy ('ATP') in the control and regulation of cell function. MOSES operates though continuous iterations between partner groups through a new systems-biology driven data-management workflow. MOSES also tries to serve as a substrate for three or more other SYSMO programs.

Silicon cell model for the central carbohydrate metabolism of the archaeon Sulfolobus solfataricus under temperature variation