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Systems Biology has emerged in the last years as a new holistic approachbased on the global understanding of cells instead of only being focused ontheir individual parts (genes or proteins), to better understand the complexityof human cells. Since the Systems Biology still does not provide the mostaccurate answers to our questions due to the complexity of cells and thelimited quality of available information to perform a good gene/protein mapanalysis, we have created simpler models to ensure easier analysis of the mapthat represents the human cell. Therefore, a virtual organism has been designedaccording to the main physiological rules for humans in order to replicate thehuman organism and its vital functions. This toy model was constructed bydefining the topology of its genes/proteins and the biological functionsassociated to it. There are several examples of these toy models that emulatenatural processes to perform analysis of the virtual life in order to designthe best strategy to understand real life. The strategy applied in this studycombines topological and functional analysis integrating the knowledge aboutthe relative position of a node among the others in the map with theconclusions generated by mathematical models that reproduce functional data ofthe virtual organism. Our results demonstrate that the combination of bothstrategies allows better understanding of our virtual organism even with thelower input of information needed and therefore it can be a potential tool tobetter understand the real life.

Virtual-organism toy-model as a tool to develop bioinformatics approaches of Systems Biology for medical-target discovery