Award details

Macromolecular surface databases and novel similarity search algorithms for prediction of functional characteristics from 3D structure

Reference	BIO12071
Principal Investigator / Supervisor	Professor David Westhead
Co-Investigators / Co-Supervisors	Dr Andrew Bulpitt, Dr Nick Efford
Institution	University of Leeds
Department	Inst of Molecular & Cellular Biology
Funding type	Research
Value (£)	134,108
Status	Completed
Type	Research Grant
Start date	16/03/2000
End date	16/03/2003
Duration	36 months

Abstract

The project will develop a database of macromolecular surfaces from the databank of known three-dimensional macromolecular structures. Novel algorithms to search this database by surface similarity criteria will be developed. Based on algorithms developed for the matching of medical images, the new algorithms will seek local and global similarity, take account of the chemical nature of surfaces, and allow for limited conformational flexibility. The utility of surface similarity searches is to predict functional characteristics of new protein structures, experimentally determined or predicted from sequence. The ability to locate similar surfaces in known and better characterised structures will enable prediction of ligand binding and active sites, likely types of bound ligand, and surfaces associated with interaction with other biological macromolecules.

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 (Phase 2) (BIO) [1998-2000]
Funding Scheme	X – not Funded via a specific Funding Scheme

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