Control of Intracellular Molecular Networks Using Algebraic Methods.

摘要: Many problems in biology and medicine have a control component. Often, the goal might be to modify intracellular networks, such as gene regulatory networks or signaling order for cells achieve certain phenotype, what happens cancer. If network is represented by mathematical model which approaches are available, systems of ordinary differential equations, then this problem solved systematically. Such available some other types, Boolean where structure-based been developed, well stable motif techniques. However, increasingly many published discrete models mixed-state multistate, that is, all variables more than two states, thus development strategies multistate needed. This paper presents approach broadly applicable general based on encoding them polynomial dynamical over finite algebraic state set, using computational algebra finding appropriate intervention strategies. To demonstrate feasibility applicability method, we apply it recently developed E2F-mediated bladder cancerous growth linking iron metabolism oncogenic pathways. The identified these novel cases represent new hypotheses, supported literature others potential drug targets. Our Macaulay2 scripts find publicly through GitHub at https://github.com/luissv7/multistatepdscontrol.