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Details of Grant 

EPSRC Reference: GR/R30334/01
Title: Combinatorial Chemistry Approaches To the Synthesis of New Polymers For Biomaterials and Tissue Engineering
Principal Investigator: Knowles, Professor JC
Other Investigators:
Brocchini, Professor SJ
Researcher Co-Investigators:
Project Partners:
Department: Biomaterials Science
Organisation: Eastman Dental Institute for Oral Health
Scheme: Standard Research (Pre-FEC)
Starts: 01 October 2001 Ends: 30 September 2004 Value (£): 203,975
EPSRC Research Topic Classifications:
Biomaterials Chemical Biology
Combinatorial Chemistry Materials Characterisation
Materials Synthesis & Growth
EPSRC Industrial Sector Classifications:
Healthcare
Related Grants:
Panel History:  
Summary on Grant Application Form
The main subject of this proposal is to prepare degradable polymer libraries to examine how the combinatorial paradigm can be used in biomedical polymer development to optimise structure-property correlations which are expected to change with time due to degradation processes. We have demonstrated that appropriate biomedical polymer libraries can be used (a) to increase in unique relationships the number of candidate polymers for medical applications, (b) to efficiently systematise the study of structure-property correlations, and (c) to incrementally modulate specific polymer properties over a wide range while keeping other defined properties unchanged (i.e. multidimensional homologation). We believe this approach to combinatorial development is a more accurate reflection of how in nature, structure and function are matched. For example all proteins share many similar properties (e.g. they are polyamides, water soluble) while at the same time proteins share other properties that incrementally differ over a wide range (e.g. substrate selectivity, receptor binding). Although we wish to address periodontitis as an application endpoint because it requires a range of material properties that span hard and soft tissue surgery, a second broad focus of enquiry is to demonstrate conclusively how a combinatorial strategy can be used to optimise polymer development and selection criteria for a wide range of medical applications.
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