 Here , we address this issue for biomolecular systems using a combination of Monte Carlo simulations and experimental data, exploiting the dependence of the process noise  on the states and parameters, as given in the Langevin framework.
<coherence>  Here , we address this issue for biomolecular systems using a combination of Monte Carlo simulations and experimental data, exploiting the dependence of the process noise  on the states and parameters, as given in the Langevin framework.
 In this chapter , we address this issue for biomolecular systems using a combination of Monte Carlo simulations and experimental data, exploiting the dependence of the process noise on the states and parameters, as given in the Langevin framework.