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Manchester Centre for Integrative Systems Biology
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Manchester Centre for Integrative Systems Biology : ウィキペディア英語版
Manchester Centre for Integrative Systems Biology

The Manchester Centre for Integrative Systems Biology (MCISB) at the University of Manchester, England has been awarded £6.4M by the BBSRC and EPSRC to pioneer the development of new experimental and computational technologies in Systems Biology, and their exploitation. It is one of six BBSRC Integrative Systems Biology Research Centres in the UK. Through its (Doctoral Training Centre ), it was also involved in teaching the theoretical and practical aspects of systems biology.
The MCISB is based on the second floor of the Manchester Institute of Biotechnology (MIB).
==Areas of research==

The MCISB aims in pioneering the development of new experimental and computational technologies in Systems Biology and aiding in their exploitation. Systems Biology, being a rather new field, is developing and expanding rapidly. The common denominator of the research carried out in this field is that it co-evolves mathematical and experimental descriptions of interacting parts of organisms, e.g. global datasets of variables such as transcripts, proteins or metabolites, and seeks to integrate these different levels of information. The MCISB is intended to provide a hub for cutting-edge Systems Biology research, acting as a focal point for the creation of the necessary ideas and infrastructure, and establishing new methods and routines.
In the research to be carried out at the MCISB, the baker's yeast (''Saccharomyces cerevisiae'') will initially be used as a model organism, because it is highly amenable to genetic manipulations and to high-throughput technologies, thus offering an excellent starting position for demonstrating the principles and methods of Systems Biology.
A key focus of the MCISB is the development and application of high-throughput methods for the quantitative measurement of kinetic and binding constants on a genome wide scale. A second challenge is the mining (both text mining and database mining) of existing sources of information, and integrate these with the experimental data generated within the MCISB. The resulting dataset will be used to construct predictive mathematical models of metabolic pathways, employing both forward kinetic modelling (systems of ODEs) and inverse modelling. This should lead to computer models of (parts of) living cells. Some models are already available for ''in silico'' experimentation, others will be developed within the centre.

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