Reduction and retrospection approach to modeling of hierarchical biological rhythms

Physiome inherently investigates hierarchical layers of biological system. In the post genome era, the number of layers should increase because possible mechanisms at molecular level are always referred to. However, biological modeling in the post genome era has to face unavoidable uncertainties in biological measurements and explosion of degree of freedom. An exhaustive modeling seems to be necessary to understand possible mechanisms underlying biological phenomena at every hierarchical level. However, simultaneously it looks like an impossible or reckless trial. In order to get rid of them, we propose a novel modeling strategy that integrates the top-down retrospection and bottom-up reduction modeling. Here, our strategy is applied to modeling of biological rhythms which is an appropriate system to study because of the penetration of rhythmic dynamics through all of the hierarchical layers.