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Fig. 3 | BMC Systems Biology

Fig. 3

From: Markov State Models of gene regulatory networks

Fig. 3

Dependence of the MISA network eigenvalues, landscape, and MSM on the repressor unbinding parameter f r . Top to Bottom: increasing fr = {1E − 3, 1E − 2, 1E − 1, 1} in units of protein degradation rate, k − 1 (complete parameter list in Additional file 1: Table S1). a The eigenvalue spectrum of T(τ) for τ = 5, and associated timescales. b The quasipotential landscape. c The Markov State Model with four macrostates, visualized by the 50% probability contour for each metastable state. d The state transition graph. Nodes and edges denote macrostates and transition probabilities, respectively. The size of each node is proportional to the steady-state probability, and edge thickness is proportional to the probability of transition within τ = 5

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