A binomial stochastic kinetic approach to the Michaelis–Menten mechanism

This Letter presents a new method that gives an analytical approximation of the exact solution of the stochastic Michaelis–Menten mechanism without computationally demanding matrix operations. The method is based on solving the deterministic rate equations and then using the results as guiding variables of calculating probability values using binomial distributions. This principle can be generalized to a number of different kinetic schemes and is expected to be very useful in the evaluation of measurements focusing on the catalytic activity of one or a few individual enzyme molecules.