Put , and . Saturated CheR supplies a constant receptor methylation flux, while CheB removes it with Michaelis-Menten kinetics:At a finite steady state, , givingIt requires and below the total available receptor pool. The steady state is stable because . If , the ideal equation has no finite positive steady state; actual methylatable sites would become exhausted.
Attractant binding reduces receptor signalling, reducing CheA-dependent phosphorylation of CheY and initially reducing tumbling frequency, so smooth runs become longer. A spatially uniform stimulus provides no preferred direction. Perfect adaptation means that after this transient the tumbling frequency returns exactly to its pre-step value despite continued attractant presence.
The equation above alone does not specify attractant occupancy or its influence on activity. If binding simply changes activity from to with , without changing either modifying flux, remains and the output remains : there is no adaptation. Thus the usual fall followed by recovery requires the additional feedback mechanism developed in c or d, rather than following from the stated Michaelis-Menten kinetics alone.
In the simplified Barkai-Leibler model, let be the total methylated receptor concentration and the active, unoccupied part. Ligand-bound methylated receptors contribute zero activity. Because CheB acts only on active receptors,At a finite steady state,The output is independent of attractant concentration : attractant changes the necessary receptor methylation level, while the flux balance fixes activity. This proves perfect adaptation for , and enough methylatable receptors. At fixed , , so this steady state is locally stable. If every receptor is permanently bound, , or if the required exceeds the available pool, compensation fails.
This feedback couples demethylation directly to the output. Lower activity lowers demethylation; continuing CheR action restores it. The structural dependence on active receptors removes the separate adjustment of required in c.[ref]
Robustness in simple biochemical networks by Naama Barkai and Stanislas Leibler. Figure 1b and equation 1: saturated modifying flux and output-dependent reverse modification
Changing CheR or CheB concentration changes and hence the baseline tumbling frequency, but the output still returns to that new baseline after an attractant step within the operating range. Raising CheR raises ; raising CheB lowers it. Adaptation time also changes: linearization gives . Thus robustness of the return property does not mean an invariant tumbling frequency or response time across different enzyme abundances.
If CheR instead has Michaelis-Menten kinetics on the unmethylated pool , its flux is . ThenThe left side depends on ligand through , even at fixed output ; consequently the equilibrium output generally depends on attractant and perfect adaptation is lost. It is recovered approximately when throughout the response, so the CheR flux is effectively saturated.