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Capturing protein functional information from structural data: 3D templates and genome annotation

Reference	APG16335
Principal Investigator / Supervisor	Professor Christine Orengo
Co-Investigators / Co-Supervisors	Professor John Overington, Dr Mark Swindells
Institution	University College London
Department	Structural Molecular Biology
Funding type	Research
Value (£)	120,022
Status	Completed
Type	Research Grant
Start date	01/10/2001
End date	31/03/2003
Duration	18 months

Abstract

The success of the human genome project, in which the UK has played a leading role, heralds a new paradigm in medicine. The principle of One Drug Fits All will be replaced by products tailored to the specific genetic characteristics of subpopulations and individuals. This will lead to more efficient and safer products, with reduced risk of unexpected side-effects. To bring this about, and to maintain the UK's strong position in this key area, we now need to understand the functional consequences of specific genetic polymorphisms. We will investigate in silico which amino acid mutations may induce a functional change in the protein. We will produce 3D-structural information for target proteins and predictions of changes in enzyme activity. If a change is predicted to influence an active site, a different drug design strategy might need to be considered. We intend to classify the likely functional effects of cSNPs and direct changes in the mode and energetics of drug binding, and additionally to provide mean estimates for binding changes based on cSNP-induced amino acid mutations.

Summary

unavailable

Committee	Closed Committee - Genes & Developmental Biology (GDB)
Research Topics	X – not assigned to a current Research Topic
Research Priority	X – Research Priority information not available
Research Initiative	LINK: Applied Genomics (APG) [2000-2004]
Funding Scheme	X – not Funded via a specific Funding Scheme

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