  We investigate the potential of numerical algorithms to decipher the kinetic
parameters involved in multi-step chemical reactions. To this end we study a
dimerization kinetics of protein as a model system. We follow the dimerization
kinetics using a stochastic simulation algorithm and combine it with three
different optimization techniques (Genetic Algorithm, Simulated Annealing and
Parallel Tempering) to obtain the rate constants involved in each reaction
step. We find good convergence of the numerical scheme to the rate constants of
the process. We also perform a sensitivity test on the reaction kinetic
parameters to see the relative effects of the parameters for the associated
profile of the monomer/dimer distribution.
