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| '''News:''' | = Nov 2010 = = This is the new site of the Cell Systems Modelling Group = = Some areas might not yet be complete = = Our old site can be found by following the link below. = http://161.73.117.95 |
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| '''Advance notice. The Biochemical Society has approved plans for the 71st Harden Conference 19-23 September 2011: Metabolic Pathway Analysis 3.''' | ----- == Latest: == === The Biochemical Society has approved plans for the 71st Harden Conference 19-23 September 2011: Metabolic Pathway Analysis 3 === See [[MPA2011|here]], [[http://MPA2011.brookes.ac.uk|here]], and [[http://tiny.cc/8icd7|here]]. ----- == Background == |
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<<latex($a^2 \frac{1}{2}$)>> { { { #!bibtex @INCOLLECTION{Hu82, author = {L. Hue}, title = {Futile Cycles and Regulation of Metabolism.}, booktitle = {Metabolic Compartmentation}, publisher = {Academic Press}, year = {1982}, editor = {Sies, H.}, pages = {71-97}, address = {London}, crossref = {Si82} } } } } |
Nov 2010
This is the new site of the Cell Systems Modelling Group
Some areas might not yet be complete
Our old site can be found by following the link below.
Latest:
The Biochemical Society has approved plans for the 71st Harden Conference 19-23 September 2011: Metabolic Pathway Analysis 3
Background
Our group began nearly thirty years ago with initial interests in computer simulation of metabolism and the theoretical analysis of metabolic control and regulation. Whilst these still remain areas of interest, we have since developed interests in modelling signal transduction, in various different approaches to network analysis of metabolism, and in reconstructing metabolic networks from genomic data. In the course of this research, we have addressed problems in microbial, plant and mammalian metabolism, often in conjunction with collaborators who have contributed experimental results.
Our current work centres on modelling the networks of reactions in cells, with particular emphasis on metabolism. It forms part of the emerging field of Systems Biology, in that we are concerned with understanding how biological function arises from the interactions between many components, and with building predictive models. We have to develop and apply suitable theoretical tools, including metabolic control analysis, computer simulation and other forms of algebraic and numerical analysis. In addition, we are investigating how to decipher the metabolic information contained in genome sequences. We are involved in projects on microbial, plant and animal metabolism, each in collaboration with an experimental team.
Potential applications of our work include the design of changes in cellular metabolism to improve the output of product such as antibiotics, detecting vulnerable sites in cellular networks that could be targets for drugs to control disease-causing organisms, and improved understanding of how organisms manage to adjust their metabolism in response to environmental changes and other signals.