Figure 6From: A hybrid multiscale Monte Carlo algorithm (HyMSMC) to cope with disparity in time scales and species populations in intracellular networksComparison 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.Back to article page