MCB111: Mathematics in Biology (Fall 2019)

week 11:

Feedback Control in Biological Interactions

Two-variable differential equations

Consider the general two-variable differential equations

there represent of the collection of all kinetic parameters that play a role in the kinetics of the system.

Figure 1. (A) Species concentration as a function of time. (B) Concentration trajectories in phase space.

The steady state

The steady state is defined as the value of the concentrations at which those would not further change as the reaction continues. That corresponds to the pair of species concentrations , such that

Figure 2. Nullclines.

If the initial conditions ( and ) are different from the steady state values, the system will evolve (the concentrations of the species will change with time) until the steady state concentrations are reached, and the system does not evolve anymore.

But not all steady states are stable. In order to discuss that, let’s introduce the concept of phase-space.

Phase-space and Nullclines

One way of representing the system if by depicting the change of the concentration of each of the species involved in the reaction as a function of time (Figure 1 A). An alternative representation of the dynamics of a two-species system the system, is by depicting one concentration against the other as they change from a initial state to steady state (Figure 1B).

In the phase space, we can also depict the lines corresponding to the two independent conditions

These two lines are referred to as the nullclines. The points of intersection of the two nullclines determine the steady states of the system (Figure 2).

By calculating the values of and for different pair of values , around the nullclines it is possible to deduce the kinetics of the system, and whether a particular steady state point is stable or unstable (see Figure 2).

Figure 3. (A) Double positive feedback loop with two mutual activators (B) Double negative feedback loop with two mutual inhibitors. (C) Double positive/negative feedback loop with one activator and one inhibitor. Parameters are k1=k2=k3=k4 =1, and Hill coefficient K=0.5.

Double feedback loop regulatory networks

For the three reactions given in Figure 3 each with two feedback loops

Compare all the above results for Hill coefficient and .