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Bioinformatics to discover new animal and human pathogens and to predict virus gene function

Reference	BIO10506
Principal Investigator / Supervisor	Professor Paul Kellam
Co-Investigators / Co-Supervisors	Professor Christine Orengo, Professor Philip Treleaven
Institution	University College London
Department	Immunology and Molecular Pathology
Funding type	Research
Value (£)	185,416
Status	Completed
Type	Research Grant
Start date	01/04/1999
End date	23/09/2003
Duration	54 months

Abstract

Bioinformatics techniques are powerful tools in assigning function to newly identified proteins, but have not yet been widely used in virological research. We will create a virus database containing data on virus sequences, structures and derived secondary data such as conserved sequence motifs, using existing bioinformatics software. This resource will provide a robust platform for complex biological analyses of viral protein families. Cross genome analyses and data-mining strategies will be developed to identify novel relationships between the virus data and to assign functional information to viral families for which little data exists. In addition, existing search strategies based on conserved virus protein motifs will be adapted to interrogate Expression Sequence (EST) databases to identify new viral proteins associated with human diseases.

Summary

unavailable

Committee	Closed Committee - Genes & Developmental Biology (GDB)
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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