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Figure 6 | BMC Bioinformatics

Figure 6

From: A hybrid multiscale Monte Carlo algorithm (HyMSMC) to cope with disparity in time scales and species populations in intracellular networks

Figure 6

Comparison of relaxation times of the fast network in network (A1). Evolution of the slow-scale propensity, a 3 ¯ MathType@MTEF@5@5@+=feaafiart1ev1aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacH8akY=wiFfYdH8Gipec8Eeeu0xXdbba9frFj0=OqFfea0dXdd9vqai=hGuQ8kuc9pgc9s8qqaq=dirpe0xb9q8qiLsFr0=vr0=vr0dc8meaabaqaciaacaGaaeqabaqabeGadaaakeaadaqdaaqaaGqaaiab=fgaHnaaBaaaleaacqaIZaWmaeqaaaaaaaa@2F2D@ , of reaction 3 in network (Al) before the occurrence of the first slow event B → C, using the MSMC (dotted line) and the HyMSMC (solid line) methods. The horizontal dashed line shows the slow-scale propensity estimated via an analytical description (binomial PDF) of the QE. A magnified view of the initial period is shown in the inset to highlight the rapid convergence of the slow-scale propensity using the hybrid solver of the HyMSMC method. The parameters are those of Figure 3.

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