A hybrid approach to piecewise modelling of biochemical systems

摘要: Modelling biochemical systems has received considerable attention over the last decade from scientists and engineers across a number of fields, including biochemistry, computer science, mathematics. Due to complexity systems, it is natural construct models incrementally in piecewise manner. This paper proposes hybrid approach which applies an evolutionary algorithm select compose pre-defined building blocks library atomic models, mutating their products, thus generating complex terms topology, employs global optimization fit kinetic rates. Experiments using two signalling pathways show that given target behaviours feasible explore model space by this approach, set synthetic with alternative structures similar desired ones.