BBSRC Portfolio Analyser
Award details
Application of wavelet transforms and neural networks to the prediction of protein structure and function
Reference
BIO12096
Principal Investigator / Supervisor
Dr Denise Gorse
Co-Investigators /
Co-Supervisors
Professor Adrian Shepherd
,
Professor Janet Thornton
Institution
University College London
Department
Computer Science
Funding type
Research
Value (£)
163,100
Status
Completed
Type
Research Grant
Start date
01/05/2000
End date
01/05/2003
Duration
36 months
Abstract
To develop a wavelet-based neural network systems for predicting the structural class and function of protein sequences. This will involve a number of important innovations, including: evaluating the suitability of different wavelet transforms for preprocessing protein data; exploiting a range of physico chemical properties attributable to amino- acid sequences and the development of strategies for combining different properties in intelligent ways; and the use of sophisticated neural network architectures specifically designed for wavelet- transformed data sets. We also propose to exploit modern rule-extraction techniques in order to give our neural networks real explanatory power.
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 (Phase 2) (BIO) [1998-2000]
Funding Scheme
X – not Funded via a specific Funding Scheme
I accept the
terms and conditions of use
(opens in new window)
export PDF file
back to list
new search