POSTER ABSTRACT Recent explosively increased bio-data enable to simulate the metabolism on whole body scale and it bring about needs of bioinformatics tools for visualizing and analyzing it. For such tools zooming is a key method for visualizing large and complex network in a single view [1]. But unfortunately most of developed tools are too dependent on the elaborately constructed hierarchy to get zoom function. So we developed the visualization system for the large and complex simulation data as a network form. In network, nodes are components (Gene, metabolite) and edges are reactions (activate, inhibit, express, repress) between linked nodes. Different types of node or edge has different colors and it can be selectively visualized. So overall biological reactions of multiple components are easily recognized. The most progressive part of this system is a zoom function. At first, components which are considered as important nodes and assigned to high level of temporary hierarchy are preferentially visualized in the map. When we zoom in the network, components in lower level of hierarchy are added to map. Therefore more detailed network are revealed. Whole network can be conveniently navigated by controlling the depth of zooming which facilitate the observation of reaction between multiple components and multiple targets.