  Biochemical pathways emerge from a series of Brownian collisions between
various types of biological macromolecules within separate cellular
compartments and in highly viscous cytosol. Functioning of biochemical networks
suggests that such serendipitous collisions, as a whole, result into a perfect
synchronous order. Nonetheless, owing to the very nature of Brownian
collisions, a small yet non-trivial probability can always be associated with
the events when such synchronizations fail to emerge consistently; which
account for a damage of a biochemical pathway. The repair mechanism of the
system then attempts to minimize the damage, in the pursuit to bring restore
the appropriate level of synchronization between reactant concentrations.
Present work presents a predictive probabilistic model that describes the
various facets of this complicated and coupled process(damaging and repairing).
By describing the cytosolic reality of Brownian collisions with
Chapman-Kolmogorov equations, the model presents analytical answers to the
questions, with what probability a fragment of any pathway may suffer damage
within an arbitrary interval of time? and with what probability the damage to a
pathway can be repaired within any arbitrary interval of time?
