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Details of Grant 

EPSRC Reference: EP/E001599/1
Title: IMRC for Bioprocessing
Principal Investigator: Hoare, Professor M
Other Investigators:
Bracewell, Professor DG Keshavarz -Moore, Professor E Lye, Professor G
Hart, Professor SL Dalby, Professor PA Chester, Professor KA
Ward, Professor JM Eames, Professor I Thornhill, Professor NF
Zhou, Dr Y Baganz, Dr F
Researcher Co-Investigators:
Project Partners:
(DO NOT USE) Nat Inst for Bio Standards AstraZeneca Avecia Limited
BIA Seperations Bio Products Laboratory BioPharm Ltd
Biovex Ltd ELI Lilly and Company Eli Lilly and Company (International)
GE Healthcare GlaxoSmithKline plc (GSK) Intercell Biomedical Ltd
Lonza Biologics Merck and Co Inc Novasep SAS
Novo Nordisk A/S Pall Europe Ltd Pfizer
Prometic Biosciences Ltd Protherics Public Health England
St George's University of London TAP Biosystems UCB
Wyeth USA
Department: Biochemical Engineering
Organisation: UCL
Scheme: IMRC
Starts: 01 April 2007 Ends: 31 March 2012 Value (£): 5,913,162
EPSRC Research Topic Classifications:
Design of Process systems
EPSRC Industrial Sector Classifications:
Chemicals
Related Grants:
Panel History:  
Summary on Grant Application Form
It is now widely accepted that up to ten years are needed to take a drug from discovery to availability for general healthcare treatment. This means that only a limited time is available where a company is able to recover its very high investment costs in making a drug available via exclusivity in the market and via patents. The next generation drugs will be even more complex and difficult to manufacture. If these are going to be available at affordable costs via commercially viable processes then the speed of drug development has to be increased while ensuring robustness and safety in manufacture. The research in this proposal addresses the challenging transition from bench to large scale where the considerable changes in the way materials are handled can severely affect the properties and ways of manufacture of the drug. The research will combine novel approaches to scale down with automated robotic methods to acquire data at a very early stage of new drug development. Such data will be relatable to production at scale, a major deliverable of this programme. Computer-based bioprocess modelling methods will bring together this data with process design methods to explore rapidly the best options for the manufacture of a new biopharmaceutical. By this means those involved in new drug development will, even at the early discovery stage, be able to define the scale up challenges. The relatively small amounts of precious discovery material needed for such studies means they must be of low cost and that automation of the studies means they will be applicable rapidly to a wide range of drug candidates. Hence even though a substantial number of these candidates may ultimately fail clinical trials it will still be feasible to explore process scale up challenges as safety and efficency studies are proceeding. For those drugs which prove to be effective healthcare treatments it will be possible then to go much faster to full scale operation and hence recoup the high investment costs.As society moves towards posing even greater demands for effective long-term healthcare, such as personalised medicines, these radical solutions are needed to make it possible to provide the new treatments which are going to be increasingly demanding to manufature.
Key Findings
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