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 sciencescomputer and information sciencesartificial intelligencenatural sciencesbiological sciencescell biologycell signaling Keywords Agent-based modelling Artificial Chemistries Cell Signalling Systems Evolutionary Computation 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 See on map Links Website Opens in new window EU contribution € 0,00 Participants (3) Sort alphabetically Sort by EU Contribution Expand all Collapse all DUBLIN CITY UNIVERSITY Ireland EU contribution € 0,00 Address Dublin See on map Links Website Opens in new window FRIEDRICH-SCHILLER-UNIVERSITAT JENA Germany EU contribution € 0,00 Address Furstengraben 1 Jena See on map Links Website Opens in new window TECHNISCHE UNIVERSITEIT EINDHOVEN Netherlands EU contribution € 0,00 Address Den dolech 2, 5612 az Eindhoven See on map Links Website Opens in new window
