BBSRC Portfolio Analyser
Award details
Prediction of functional properties of proteases from sequence and structure
Reference
BIO14433
Principal Investigator / Supervisor
Professor Simon Hubbard
Co-Investigators /
Co-Supervisors
Dr Ilias Petrounias
Institution
The University of Manchester
Department
Life Sciences
Funding type
Research
Value (£)
167,056
Status
Completed
Type
Research Grant
Start date
08/05/2001
End date
07/03/2005
Duration
46 months
Abstract
Proteases are a diverse range of enzymes present in all genomes that share a common property of catalysing the cleavage of peptide bonds. Although it is often possible to identify their basic mechanistic class by standard bioinformatic methods, their biochemical specificity and cellular function are much harder to infer from sequence data. The aim of this proposal is to produce a software suite dedicated to the analysis of proteases with the goal of predicting their more detailed functional properties from amino acid sequence, and where appropriate, tertiary structure. We will develop novel tools to infer substrate specificity, likely function and putative cellular targets, primarily from amino acid sequence information alone, delivered via a web-based interface.
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