Nonlinear signal transduction network with multistate

Signal transduction is an important and basic mechanism to cell life activities. The stochastic state transition of receptor induces the release signaling molecular, which triggers other receptors. It constructs a nonlinear sigaling network, leads robust switchlike properties are critical biological function. Network architectures transitions affect performance this network. In work, we perform study on polymorphic network by analyzing dynamics Ca$^{2+}$ induced mechanism, where fast slow processes involved has four conformational states. Three types networks, Erd\"os-R\'enyi Watts-Strogatz BaraB\'asi-Albert considered with different parameters. networks exhibit patterns at time scales. At short scale, second open essential reproduce quasi-bistable regime, emerges strength connection for all three states in disappears another point. pattern scale not sensitive architecture. long only monostable regime observed, difference affects results more seriously. Our finding identifies features multistate that may underlie their