An enhanced sampling method-biased Brownian dynamics-is developed for the c
alculation of diffusion-limited biomolecular association reaction rates wit
h high energy or entropy barriers. Biased Brownian dynamics introduces a bi
asing force in addition to the electrostatic force between the reactants, a
nd it associates a probability weight with each trajectory. A simulation lo
ses weight when movement is along the biasing force and gains weight when m
ovement is against the biasing force. The sampling of trajectories is then
biased, but the sampling is unbiased when the trajectory outcomes are multi
plied by their weights. With a suitable choice of the biasing force, more r
eacted trajectories are sampled, As a consequence, the variance of the esti
mate is reduced, in our test case, biased Brownian dynamics gives a sevenfo
ld improvement in central processing unit (CPU) time with the choice of a s
imple centripetal biasing force.