| EPSRC Reference: |
GR/S07490/01 |
| Title: |
Application of constraint satisfaction for the analysis of biochemical networks |
| Principal Investigator: |
Gilbert, Professor D |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Department: |
School of Computing Science |
| Organisation: |
University of Glasgow |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 September 2002 |
Ends: |
31 August 2003 |
Value (£): |
12,216
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| EPSRC Research Topic Classifications: |
| Artificial Intelligence |
Bioinformatics |
| Genomics |
Information & Knowledge Mgmt |
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| EPSRC Industrial Sector Classifications: |
| No relevance to Underpinning Sectors |
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Summary on Grant Application Form |
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The project will apply constraint satisfaction techniques for the analysis of biochemical networks (metabolic pathways, regulatory networks, and/or signal transduction). Tools will be developed for solving different classes of analysis problems for such networks : path finding, pattern matching and analysis of similarities. The tools will be coupled to the aMAZE database, an existing, and rapidly expanding, database that integrates information on metabolic pathways and regulatory pathways at the gene and protein levels. These tools will be tested on two model organisms, namely Escherichia coli and Saccharomyces cerevisiae whose genome has been sequenced and whose metabolism and regulation are well characterized.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.gla.ac.uk |