I have recently generated a PMF profile using a together-apart reaction coordinate. The simulations were performed via umbrella sampling using Gromacs and the PMF profiles were reconstructed using g_wham and bootstrap analysis was used to estimate statistical uncertainty. 

Unfortunately, I have been strongly advised that bootstrap analysis strongly underestimates the error in the case of hidden transverse degrees of freedom (a barrier in a direction orthogonal to the reaction coordinate).

To me, it sounds like I am being asked to explore additional phase-space i.e., run each window for longer. However, it has been recommended to me to perform a genuine umbrella sampling with a bias equal to the negative estimated free energy. If the system diffuses freely between reactants and products one can claim the free energy is converged. I understand what this means, but in the many PMF studies of protein-protein interactions, I've never seen this level of scrutiny.

Using the Umbrella-Sampling corresponding .mdp parameters, how do I introduce the associated negative free energy bias?

Thanks

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