Objective
The European Drug Initiative on Channels and Transporters, EDICT, allies for the first time, partners with world-class expertise in both the structural and functional characterisation of membrane channels and transporters. State-of-the-art facilities and personnel for X-ray crystallography, Electron Microscopy and Nuclear Magnetic Resonance and the latest throughput technology, will provide infrastructure for scientists characterising channel and transport functions in man and pathogenic microorganisms. Our experts in the analyses of all the databases of these membrane proteins and molecular modelling will work with our industrial partners on specific targets chosen for their potential to improve the health of European citizens, increase the competitiveness of European health-related industries and businesses and address global health issues. EDICT will increase knowledge of biological processes and mechanisms involved in normal health and in specific disease situations, and transpose this knowledge into clinical applications. By combining computational and experimental analyses, existing detailed molecular models of channel and transporter proteins, and novel structures derived by our partners, will be analysed to identify the critical regions constituting drug targets. These basic discoveries will be translated via in silico and experimental strategies with our industrial partners into the design of novel drugs that modify activities of the membrane proteins for the benefit of the patients. The range of human proteins covered includes potassium channels, anion and cation transporters, neurotransmitter transporters, cation-transporting ATPases and mitochondrial transporters. Structures of bacterial homologues to the human proteins are exploited to inform the studies of their human counterparts
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural scienceschemical sciencesinorganic chemistryalkali metals
- natural sciencesearth and related environmental sciencesgeologymineralogycrystallography
- natural sciencesbiological sciencesbiochemistrybiomoleculesproteins
- natural sciencesphysical sciencesopticsmicroscopyelectron microscopy
- natural sciencesbiological sciencesmicrobiology
Keywords
Call for proposal
FP7-HEALTH-2007-A
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Funding Scheme
CP-IP - Large-scale integrating projectCoordinator
LS2 9JT Leeds
United Kingdom
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Participants (27)
1015 LAUSANNE
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405 30 Goeteborg
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B4 7ET Birmingham
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4051 Basel
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80539 Munchen
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12489 Berlin
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60323 Frankfurt Am Main
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8006 Zurich
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8092 Zuerich
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40225 Dusseldorf
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9712CP Groningen
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75015 PARIS 15
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W1B 1AL LONDON
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8000 Aarhus C
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SW7 2AZ LONDON
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151 85 Sodertaelje
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OX1 2JD Oxford
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10691 Stockholm
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119992 MOSCOW
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91904 Jerusalem
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20122 Milano
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08028 Barcelona
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00014 HELSINGIN YLIOPISTO
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17177 Stockholm
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1165 Kobenhavn
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CB22 3EG CAMBRIDGE
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79106 Freiburg
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