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Evolving Cell Signalling Networks in Silico

Objective

This project investigates the possibility to computationally evolve and simulate artificial cell signaling networks (CSNs) with pre-specified properties by means of Evolutionary Computation methods. It is required that the interactions between the si mulated particles in the artificial chemistry are realistic with respect to the interactions found in real CSNs. In this project we will build an artificial intelligence predictor for unknown components of cell signaling networks in organisms.

Call for proposal

FP6-2003-NEST-B-1
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Funding Scheme

STREP - Specific Targeted Research Project

Coordinator

THE UNIVERSITY OF BIRMINGHAM
Address
Edgbaston
Birmingham
United Kingdom

Participants (3)

DUBLIN CITY UNIVERSITY
Ireland
FRIEDRICH-SCHILLER-UNIVERSITAT JENA
Germany
Address
Furstengraben 1
Jena
TECHNISCHE UNIVERSITEIT EINDHOVEN
Netherlands
Address
Den Dolech 2, 5612 Az
Eindhoven