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Foundations of Systems Biology in Engineering — Overview Systems Biology has emerged in recent years as an
exciting new
endeavour which aims at achieving a systems-level understanding of
biological processes – and ultimatively whole cells and organisms. The
effort provides a new approach for integrating quantitative data from a
variety of sources, especially from genome-wide analyses, in
conjunction with extensive use of mathematical models for data analysis
as well as for model driven data acquisition. Progress in systems
biology is heavily dependent on a combination of experimental and
computational state-of-the-art techniques. To live up to the high expectations, Systems
Biology tools,
both experimental and theoretical, have to be continuously and
significantly improved. Thus reaching a comprehensive understanding of
the behaviour of cells, organs or even whole organisms has to be seen
as a long term goal. The present hurdles to be mastered are mechanistic
descriptions of spatiotemporal dynamics of signal and metabolic
processes at a cellular level and their functional interrelations. The
promise of such dynamic models is not only a comprehensive
understanding of complex biological processes but the immediate
application of this advanced knowledge for practical purposes in
biotechnology and medicine. In particular, the exploitation of
mathematical models for identification of drug targets, optimization of
drug dosages, improvement of biotechnical production processes and for
advancing synthetic biology, i.e. man-designed biological systems, as a
new field at the interface between engineering and systems biology
becomes apparent. FOSBE 2007 brings together
researchers from biochemical engineering, systems engineering, complex
systems research, computational biologists, computer science and
experimental biologists. Furthermore, the audience includes academic
researchers, experts from industry (including pharmaceutical, biotech.
and biomedical products) and federal funding agencies – to discuss the
advances, challenges and emerging opportunities in systems biology.
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