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Prediction generation and assessment of high- throughput protein-protein interaction data

Reference	C19399
Principal Investigator / Supervisor	Professor Florian Hollfelder
Co-Investigators / Co-Supervisors	Dr Andrew Griffiths, Dr Michael Lappe
Institution	University of Cambridge
Department	Biochemistry
Funding type	Research
Value (£)	153,152
Status	Completed
Type	Research Grant
Start date	01/10/2003
End date	31/03/2007
Duration	42 months

Abstract

Large-scale efforts to detect protein-protein interactions have taken centre stage in molecular biology, targeted as the elucidation of complete cellular networks. Current proteomics approaches use a variety of semiquantitative methods (such as two-hybrid systems and tandem-affinity purification and mass-spec) to define the interaction between protein partners. The data derived from these experiments however contains many false positives. We propose to use a new compartmentalised high-throughput screening system to detect interactions, characterise them quantitatively. The experimental validation is then used to improve our existing programme EMBed for better structural and functional prediction and accurate estimates of data reliability.

Summary

unavailable

Committee	Closed Committee - Biochemistry & Cell Biology (BCB)
Research Topics	X – not assigned to a current Research Topic
Research Priority	X – Research Priority information not available
Research Initiative	X - not in an Initiative
Funding Scheme	X – not Funded via a specific Funding Scheme

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