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Improved protein secondary structure prediction using advanced statistics and machine learning
Reference
BIF08765
Principal Investigator / Supervisor
Professor Ross King
Co-Investigators /
Co-Supervisors
Professor Michael Sternberg
Institution
Aberystwyth University
Department
Computer Science
Funding type
Research
Value (£)
140,692
Status
Completed
Type
Research Grant
Start date
01/04/1998
End date
01/04/2001
Duration
36 months
Abstract
Protein secondary structure prediction is the most general and reliable way of obtaining structural information from protein sequence data. The program DSC is an accurate and widely used prediction program based on simple statistics. It is aimed to develop the world's most accurate prediction method by extending DSC using advanced statistical and machine learning methods. Improvements in DSC will be made by: refining the statistics, forming better alignments (using the new technique of stochastic logic programming), more intelligent use of alignments, and knowledge based modification of predictions. The work will be done in collaboration with Glaxo-Wellcome and the Imperial Cancer Research Fund.
Summary
unavailable
Committee
Not funded via Committee
Research Topics
X – not assigned to a current Research Topic
Research Priority
X – Research Priority information not available
Research Initiative
Bioinformatics (BIF) [1995-1997]
Funding Scheme
X – not Funded via a specific Funding Scheme
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