Let be the probability that an ATP-waiting state has not yet bound a substrate molecule. A constant bimolecular binding coefficient at fixed ATP concentration gives a pseudo-first-order hazard . Thus , , and the waiting-time distribution is
The probability density function starts at and decreases exponentially. Increasing shortens the waiting time in inverse proportion. This supports one rate-limiting ATP-binding event before the associated motion, rather than a concentration-independent chemical delay.
For the second delay, consider sequential independent first-order transitions . Their dwell times have exponential distributions. The total waiting time is their sum, so convolution gives
It is normalized, symmetric under exchange of , and has
Unlike one exponential delay, it vanishes at , rises initially as , reaches a maximum at and eventually decays at the slower rate. For equal rates the continuous limit is , an Erlang distribution with mode . If one rate is much faster than the other, the observed long-time behavior approaches one exponential. The sketch in the preceding section displays these shapes using arbitrary specified rates.
The simplest catalytic cycle compatible with the fits therefore contains an ATP-dependent binding delay and at least two resolvable ATP-concentration-independent kinetic events. Hydrolysis, product release and conformational changes are possible microscopic assignments, but the two-rate fit alone does not uniquely identify them or the order of and . If each complete cycle contains these three waits and step durations are negligible, its mean duration is and the mean revolution rate is the inverse of three times this duration. Multiple catalytic sites can cooperate during that cycle.
TODO: the source PDF's stepping plot is absent. Its individual substep angles, numerical timings and the mapping of plotted dwell labels onto the larger or smaller angular movement cannot be read. The surviving text establishes only the total step and the existence of a larger and a smaller substep. No numerical rate, missing angle or plotted label is inferred from a different experiment. The distribution derivations and the concentration-dependence inference above are independent of that illustration.