  The Milestoning algorithm created by Ron Elber et al. is a method for
determining the time scale of processes too complex to be studied using brute
force simulation methods. The fundamental objects implemented in the
Milestoning algorithm are the first passage time distributions between adjacent
protein configuration milestones. The method proposed herein aims to further
enhance Milestoning by employing an artificial applied force, akin to wind,
which pushes the trajectories from their initial states to their final states,
and subsequently re-weights the trajectories to yield the true first passage
time distributions in a fraction of the computation time required for
unassisted calculations. The re-weighting method, rooted in Ito's stochastic
calculus, was adapted from previous work by Andricioaei et al. The theoretical
basis for this technique and numerical examples are presented.
