Simulating millions of interacting cells modelled with Quasi-Steady State Petri Net

I will present the the Quasi-Steady State Petri Net (QSSPN) model and explain how we can simulate populations of millions of interacting cells with modern cluster computing frameworks (the same that are used to analyse social networks). QSSPN has been developed to integrate Petri net models of gene regulatory and signalling networks in the cell with steady state models of Genome Scale Metabolic Network (GSMN). To explore the behaviour of a modelled
cell, the quasi-steady state approximation is used, where for every state of dynamic Petri net model the steady-state metabolic flux distribution of GSMN is explored with the CBM approach.