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.

Fields of science

• natural sciences › biological sciences › cell biology › cell signaling
• natural sciences › computer and information sciences › artificial intelligence

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
See other projects for this call

Funding Scheme

STREP - Specific Targeted Research Project

Coordinator

THE UNIVERSITY OF BIRMINGHAM

Address

Edgbaston
Birmingham
United Kingdom

Participants (3)

DUBLIN CITY UNIVERSITY

Ireland

Address

Dublin

FRIEDRICH-SCHILLER-UNIVERSITAT JENA

Germany

Address

Furstengraben 1
Jena

TECHNISCHE UNIVERSITEIT EINDHOVEN

Netherlands

Address

Den Dolech 2, 5612 Az
Eindhoven