Modeling Biochemical networks

Modeling complex biochemical networks with DDEs is another area which I am interested in. Networks containing cascading phosphorylation-dephosphorylation cycles form the skeleton of a number of biological processes. In order to study the effect of delay in a network like cell cycle, its effect in a phenomenological model of a network of P-D cycles is currently undertaken. Cascading activation involving 3 variables is replaced with delayed activation between 2 variables. Introduction of delayed feedback did not change the property of the system and that the reduced model mimics the original model quantitatively. Further investigations on this system give strong results that can be used by mathematical biologists when modeling complex biochemical pathways. The applicability of the above result is evident in a cell cycle model proposed by us using delayed variable.