In chemistry, control coefficients[1] are used to describe how much influence (i.e., control) a given reaction step has on the steady-state flux or species concentration level. In practice, this can be accomplished by changing the expression level of a given enzyme and measuring the resulting changes in flux and metabolite levels. Control coefficients form a central component of metabolic control analysis.
There are two primary control coefficients:
The simplest way to look at control coefficients is as the scaled derivatives of the steady-state change in an observable with respect to a change in enzyme activity. For example, the flux control coefficients can be written as:
| ||||
C | ||||
ei |
ei | = | |
J |
dlnJ | |
dlnei |
≈
J\% | |
ei\% |
while the concentration control coefficients can be written as:
sj | ||
C | = | |
ei |
dsj | |
dei |
ei | = | |
sj |
dlnsj | |
dlnei |
≈
sj\% | |
ei\% |
Control coefficients can have any value that includes negative and positive values. A negative value indicates that the observable in question decreases as a result of the change in enzyme activity.
In theory, other observables, such as growth rate, or even combinations of observables, can be defined using a control coefficient. But flux and concentration control coefficients are by far the most commonly used.
The approximation in terms of percentages makes control coefficients easier to measure and more intuitively understandable.
Control coefficients are useful because they tell us how much influence each enzyme or protein has in a biochemical reaction network.
It is important to note that control coefficients are not fixed values but will change depending on the state of the pathway or organism. If an organism shifts to a new nutritional source, then the control coefficients in the pathway will change.
One criticism of the concept of the control coefficient as defined above is that it is dependent on being described relative to a change in enzyme activity. Instead, the Berlin school[2] defined control coefficients in terms of changes to local rates brought about by any suitable parameter, which could include changes to enzyme levels or the action of drugs. Hence a more general definition is given by the following expressions:
J | |
C | |
vi |
=\left(
dJ | |
dp |
p | |
J |
\right)/\left(
\partialvi | |
\partialp |
p | |
vi |
\right)=
dlnJ | |
dlnvi |
and concentration control coefficients by
s | |
C | |
vi |
=\left(
ds | |
dp |
p | |
s |
\right)/\left(
\partialvi | |
\partialp |
p | |
vi |
\right)=
dlns | |
dlnvi |
In the above expression,
p
X | |
C | |
vi |
=
X | |
C | |
ei |
In normal usage, the rate-limiting step or rate-determining step is defined as the slowest step of a chemical reaction that determines the speed (rate) at which the overall reaction proceeds. The flux control coefficients do not measure this kind of rate-limitingness. For example, in a linear chain of reactions at steady-state, all steps carry the same flux. That is, there is no slow or fast step with respect to the rate or speed of a reaction.[3] The flux control coefficient, instead, measures how much influence a given step has on the steady-state flux. A step with a high flux control coefficient means that changing the activity of the step (by changing the expression level of the enzyme) will have a large effect on the steady-state flux through the pathway and vice versa.
Historically the concept of the rate-limiting steps was also related to the notion of the master step.[4] However, this drew much criticism due to a misunderstanding of the concept of the steady-state.[5]