  We consider two approaches to modelling of cell metabolism of
6-mercaptopurine, which is one of the important chemotherapy drugs used for
treating of acute lymphocytic leukemia: kinetic ordinary differential equations
and random Boolean networks, and analyse their interplay with respect to taking
into account ATP concentration as a key parameter of switching between
different pathways. It is shown that Boolean networks, which allow for avoiding
complexity of general kinetic modelling, preserve an opportunity to the
reproduction of the principal switching mechanism. To keep a detailed
quantitative measure of the control parameter, a combined Boolean-ODE method is
proposed.
