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CoVes SIGNED

Communicating Vesicles

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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Project "CoVes" data sheet

The following table provides information about the project.

Coordinator
THE CHANCELLOR MASTERS AND SCHOLARSOF THE UNIVERSITY OF CAMBRIDGE 

Organization address
address: TRINITY LANE THE OLD SCHOOLS
city: CAMBRIDGE
postcode: CB2 1TN
website: www.cam.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 212˙933 €
 EC max contribution 212˙933 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2018
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2019
 Duration (year-month-day) from 2019-04-08   to  2021-04-07

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE CHANCELLOR MASTERS AND SCHOLARSOF THE UNIVERSITY OF CAMBRIDGE UK (CAMBRIDGE) coordinator 212˙933.00

Map

 Project objective

Networks constituted from single components able to communicate with each other in a controlled manner are at the basis of every phenomenon occurring in the world around us. Understanding and controlling information transmission processes represents one of the greatest challenges for modern scientists. I propose to develop an understanding of the working principles of complex information processing networks by using an artificial system that resembles Nature’s cell-based communication systems. Inspired by the cascade processes occurring in Nature such as the second messenger system and extracellular messenger release, “CoVes” will be based on responsive Vesicles able to Communicate in a specific and targeted manner due to different input signals. Vesicles will be equipped with a series of synthetic transducers that respond to orthogonal external chemical stimuli. Transmembrane signalling will be coupled with internal chemical messenger release leading to communication between vesicles in an information network. The working principles of the novel multi-component ensembles will be investigated leading to systems capable of transmitting information under different diffusion conditions and paving the way for novel communication mechanisms. The accurate and reliable prediction of communication processes will lead to vesicle ensembles able to store and transfer information using orthogonal stimuli which will be crucial for the development of bio-inspired nanotechnology, such as interfaces for communication with cellular systems. The accomplishments achieved through CoVes will make chemistry not only the science of matter transformation, but also the science of information storage, elaboration and transfer.

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The information about "COVES" are provided by the European Opendata Portal: CORDIS opendata.

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