The sequential model, also known as the KNF model, is a framework that describes the sigmoidal kinetics of allosteric enzymes. This model, named after the scientists who developed it, emphasizes that the subunits of an allosteric enzyme transition from the tense state (T state) to the relaxed state (R state) in a sequential manner rather than simultaneously. This is a key distinction from the concerted model, where all subunits change states together.
In the sequential model, the conversion of subunits from T state to R state is induced by substrate binding, aligning with the induced fit model. This means that each subunit can exist in different states at the same time, allowing for hybrid configurations. For instance, it is possible for one subunit to be in the R state while others remain in the T state, leading to a variety of combinations across the enzyme's subunits. This flexibility is crucial for understanding how allosteric enzymes function and respond to substrates.
As the transitions between states occur independently for each subunit, the sequential model provides a more nuanced view of enzyme kinetics, particularly in explaining phenomena such as positive and negative cooperativity. These concepts are essential for understanding the sigmoidal shape of the kinetic curve observed in allosteric enzymes, which reflects their complex regulatory mechanisms.