| EPSRC Reference: |
EP/C00373X/1 |
| Title: |
Graph-based methods for the analysis of biochemical structures |
| Principal Investigator: |
Gilbert, Professor D |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
School of Computing Science |
| Organisation: |
University of Glasgow |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 April 2005 |
Ends: |
30 September 2006 |
Value (£): |
13,379
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| EPSRC Research Topic Classifications: |
| Fundamentals of Computing |
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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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Determining the biological function of proteins is one of the major tasks in molecular biology. This project is aimed at the development of new methods for comparison of protein/RNA structures which could improve in-silico prediction of protein functions.The novelty of proposed research lies in the fact that we plan to introduce in structure comparison methods (more specifically the development of methods that use graph-based representations for structures), and some new elements (scoring matrices, evolutionary models) which are currently used (and considered to be essential) only in the context of sequence comparisons. Since it is widely accepted that structure is much more informative than the sequence for the understanding of the function of a protein, it is expected that the proposed research will be a step towards increased prediction accuracy.
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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 |