Resumen
Throughout the history of computer science, leading researchers have looked to nature. This inspiration has often led to extraordinary results, some of which acknowledged biology even in their names: cellular automata, neural networks, and genetic algorithms, for example. Biology is experiencing a heightening of interest in system dynamics by interpreting living organisms as information manipulators. It is thus moving toward "systems biology." One of the philosophical foundations of systems biology is mathematical modeling, which specifies and tests hypotheses about systems; it is also a key aspect of computational biology because it deals with the solution of systems of equations (models) through computer programs. The convergence between computing and systems biology on a peer-to-peer basis is then a valuable opportunity that can fuel the discovery of solutions to many of the current challenges in both fields, thereby moving toward an algorithmic view of systems biology. Algorithmic systems biology can contribute to the future both of life sciences and natural sciences through interconnecting models and experiments.