Srijeeta Talukder
Articles written in Journal of Chemical Sciences
Volume 125 Issue 6 November 2013 pp 1619-1627 Regular Articles
Stochastic optimization-based study of dimerization kinetics
Srijeeta Talukder Shrabani Sen Ralf Metzler Suman K Banik Pinaki Chaudhury
We investigate the potential of numerical algorithms to decipher the kinetic parameters involved in multi-step chemical reactions. To this end, we study 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.
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