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The topology of a biological network may differ, depending on the type of elements and the interactions between them. A protein signaling pathway considered as a directed network can be studied through the centralities analysis. The knowledge about the centralities is crucial to determine the most important network nodes, which can somehow define the further analysis needed for that network. Here we make a structural analysis of two networks, the AMPK-signaling pathway, and the mTOR-signaling pathway. The commonalities between these two networks are visible, and calculation of the centralities for all the nodes of the two networks show that they both have the same most important nodes, meaning that the signal inside the networks passes mostly through the same most important proteins such as AMPK, mTOR, RHEB, Akt, ELK1. 2, and TSC1/2. However, we aim to go beyond this process. Our purpose is to make a dynamic study of a new bigger network composed of the most important nodes of these two elementary nodes. In this way, we can better predict all these vital proteins' effects on other elements, inside or outside the network.