Multi-Agents System to Model Cell Signalling by Using Fuzzy Cognitive Maps. Application to Computer Simulation of Multiple Myeloma

In order to simulate biological processes, we use multi-agents system. However, modelling cell behavior in systems biology is complex and may be based on intracellular biochemical pathway. So, we have developed in this study a Fuzzy Influence Graph to model MAPK pathway. A Fuzzy Influence Graph is a...

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Hauptverfasser:	Rodin, V., Querrec, G., Ballet, P., Bataille, F.-R., Desmeulles, G., Abgrall, J.-F., Tisseau, J.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Application software Biological processes Biological system modeling Cells (biology) Computational modeling Computer simulation Differential equations Fuzzy Cognitive Map Fuzzy cognitive maps Multi-Agents System Multiagent systems Systems biology
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creator	Rodin, V. Querrec, G. Ballet, P. Bataille, F.-R. Desmeulles, G. Abgrall, J.-F. Tisseau, J.
description	In order to simulate biological processes, we use multi-agents system. However, modelling cell behavior in systems biology is complex and may be based on intracellular biochemical pathway. So, we have developed in this study a Fuzzy Influence Graph to model MAPK pathway. A Fuzzy Influence Graph is also called Fuzzy Cognitive Map. This model can be integrated in agents representing cells. Results indicate that despite individual variations, the average behavior of MAPK pathway in a cells group is close to results obtained by ordinary differential equations. So, we have also modelled multiple myeloma cells signalling by using this approach.
doi_str_mv	10.1109/BIBE.2009.23
format	Conference Proceeding
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subjects	Application software Biological processes Biological system modeling Cells (biology) Computational modeling Computer simulation Differential equations Fuzzy Cognitive Map Fuzzy cognitive maps Multi-Agents System Multiagent systems Systems biology
title	Multi-Agents System to Model Cell Signalling by Using Fuzzy Cognitive Maps. Application to Computer Simulation of Multiple Myeloma
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