Award details

Patterns functions and structures on a protein topology database

Reference	BIO14429
Principal Investigator / Supervisor	Professor David Gilbert
Co-Investigators / Co-Supervisors	Dr Michael Schroeder, Professor George Spanoudakis
Institution	University of Glasgow
Department	School of Computing Science
Funding type	Research
Value (£)	97,100
Status	Completed
Type	Research Grant
Start date	17/05/2001
End date	10/08/2003
Duration	27 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 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

Associated awards:

BIO14449 Patterns functions and structures on a protein topology database

I accept the terms and conditions of use (opens in new window)

export PDF file

back to list new search