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Agent-Oriented Stem Cell Computational Modeling

Maíra A. de C. GattiGeisa M. FaustinoDiego BispoJosé Eurico VasconcellosCarlos J.P. de Lucena

The stem cell ability of differentiation in different kinds of cells is crucial for therapeutic application. Stem cells can be used to find a cure for several diseases, such as cardiovascular, neurodegenerative, and others. The promise of the use of the capacity of computational power and the applicability of the recent techniques in computational and mathematic modeling in order to understand and forecast important aspects of biological systems is a great opportunity for the research in medicine and biology. In this context, stem cells are biological systems that are open, distributed, and complex natural systems. They produce an emergent behavior and the design and development of the computational modeling of these systems is a non-trivial task that requires by definition a specific software engineering approach, including specific modeling techniques. This paper presents the first experiments for developing a computational modeling for embryonic stem cell behavior using a specific (agent-based) approach, its challenges and targeted expected contributions in a long term. This work is being developed in the context of the Second Grand Challenge of building computational modeling of complex natural systems.

http://www.lbd.dcc.ufmg.br:8080/colecoes/semish/2008/003.pdf

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