Award details

Patterns functions and structures on a protein topology database

ReferenceBIO14429
Principal Investigator / Supervisor Professor David Gilbert
Co-Investigators /
Co-Supervisors
Dr Michael Schroeder, Professor George Spanoudakis
Institution University of Glasgow
DepartmentSchool of Computing Science
Funding typeResearch
Value (£) 97,100
StatusCompleted
TypeResearch Grant
Start date 17/05/2001
End date 10/08/2003
Duration27 months

Abstract

The aims of this project are to enhance the TOPS system, search and learning algorithms, to build a topologically based structure search and comparison method rivalling those based on atomic co-ordinates in terms of accuracy, and excelling them in terms of computational speed and memory requirements. Improved facilities for the visualization of ligand binding sites on TOPS cartoons will also be developed. Machine learning algorithms will be extended to discover discriminatory topological patterns in sets of positive and negative examples. Further developments of the machine learning methods will aim to discover patterns relating the topological description of structures to characteristics of the sequence, and to functional characteristics of the protein (for instance, ligand binding sites), for use in prediction of protein structure and function. (Joint with grant 24/BIO14449.)

Summary

unavailable
Committee Closed Committee - Biomolecular Sciences (BMS)
Research TopicsX – not assigned to a current Research Topic
Research PriorityX – Research Priority information not available
Research Initiative Bioinformatics (Phase 2) (BIO) [1998-2000]
Funding SchemeX – not Funded via a specific Funding Scheme
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