COMPBIOMAT
Computing Biomaterials
| Coordinatore | ALBERT-LUDWIGS-UNIVERSITAET FREIBURG
Spiacenti, non ci sono informazioni su questo coordinatore. Contattare Fabio per maggiori infomrazioni, grazie. |
| Nazionalità Coordinatore | Germany [DE] |
| Totale costo | 1˙499˙040 € |
| EC contributo | 1˙499˙040 € |
| Programma | FP7-IDEAS-ERC
Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) |
| Code Call | ERC-2010-StG_20091028 |
| Funding Scheme | ERC-SG |
| Anno di inizio | 2010 |
| Periodo (anno-mese-giorno) | 2010-12-01 - 2015-11-30 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
ALBERT-LUDWIGS-UNIVERSITAET FREIBURG
Organization address
address: FAHNENBERGPLATZ contact info |
DE (FREIBURG) | hostInstitution | 1˙499˙040.00 |
Mappa
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Obiettivo del progetto (Objective)
'The objective of the proposal is to establish the foundations of a new discipline at the intersections of Materials Science, Synthetic Biology and Computer Science: the development of Computing Biomaterials. Computing biomaterials will be able to perceive multiple input signals, to process these signals by complex computational operations and to produce a corresponding output signal. The design principle of computing biomaterials will be inspired by computer science, the molecular control elements will be derived from synthetic biology and the overall framework for the construction of biomaterials will rely on materials science. The design principle will be hierarchical: at the basis, synthetic biology tools will act as sensor, processor and actuator. These tools will be integrated into biomaterials to build logic gates that perceive different input signals, process these signals by Boolean algebra and produce a corresponding readout. By the functional interconnected of several such gates, we will construct integrated biomaterial circuits that perform complex computational operations. The fundamental and generally applicable design principles as established in this proposal, will enable the rapid and predictable synthesis of integrated biomaterial circuits that function as integrated sensor, processor and actuator with custom-tailored performance and will show a vast application potential in emerging disciplines like biomedicine or microsystems engineering.'