抄録
Physiome inherently investigates hierarchical layers of biological system. In the post genome era, the number of layers under study should increase because possible mechanisms at molecular level are always referred to. However, biological modeling 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 these difficulties, 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. [J Physiol Sci. 2008;58 Suppl:S33]
