Award details

Protein function prediction and classification using uncertainty

Reference	BBS/B/16585
Principal Investigator / Supervisor	Professor David Westhead
Co-Investigators / Co-Supervisors	Dr Andrew Bulpitt
Institution	University of Leeds
Department	Inst of Molecular & Cellular Biology
Funding type	Research
Value (£)	327,865
Status	Completed
Type	Research Grant
Start date	01/11/2004
End date	31/01/2008
Duration	39 months

Abstract

The project will address three key biological prediction problems motivated by the current trend towards high-throughput data generation in molecular biology: prediction of functional effects of single nucleotide polymorphisms, prediction of interfaces involved in protein-protein interactions, and prediction of Gene Ontology categories. These will be addressed using novel Bayesian network-based methods, which will be compared to existing approaches to these problems developed using support vector machines and decision tress in the laboratories of the applicants. Bayesian networks will also be used to address some limitations associated with the natural language nature of the Gene Ontology. Methods developed by the project will be made available as GRID web services using the White Rose Computational Grid.

Summary

unavailable

Committee	Closed Committee - Biomolecular Sciences (BMS)
Research Topics	X – not assigned to a current Research Topic
Research Priority	X – Research Priority information not available
Research Initiative	Bioinformatics and E Science Programme II (BEP2) [2003-2004]
Funding Scheme	X – not Funded via a specific Funding Scheme

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