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.

Programme(s)

• FP6-POLICIES - Policy support: Specific activities covering wider field of research under the Focusing and Integrating Community Research programme 2002-2006.

Topic(s)

• NEST-2003-1 - Adventure activities

Call for proposal

FP6-2003-NEST-B-1
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Funding Scheme

Coordinator

Participants (3)