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Structure-based function prediction using peer-to-peer distributed computing

Reference	BEP17047
Principal Investigator / Supervisor	Professor David Jones
Co-Investigators / Co-Supervisors	Professor Wolfgang Emmerich, Professor Cecilia Mascolo, Professor Christine Orengo, Dr Soren-Aksel Sorensen, Dr William Taylor
Institution	University College London
Department	Computer Science
Funding type	Research
Value (£)	190,196
Status	Completed
Type	Research Grant
Start date	01/09/2002
End date	01/09/2005
Duration	36 months

Abstract

The goal of this project is to develop a generic and flexible toolkit for performing massive- scale computations using individual desktop machines in a similar fashion to that used by the SETI-Home project. This toolkit will be used to perform a large-scale ab initio prediction experiment on orphan protein sequences found in proteomes. For each orphan protein sequence many structures will be calculated using the FRAGFOLD and DRAGON ab initio prediction methods, and these structures will be analysed to predict likely functions for the target proteins. The developed toolkit will be designed to be general enough to allow many different scientific applications to be implemented using the same programming framework.

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 (BEP) [2000-2001]
Funding Scheme	X – not Funded via a specific Funding Scheme

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