Protein folding is described conceptually in terms of diffusion over a configurational free-energy landscape, typically reduced to a one-dimensional profile along a reaction coordinate. In principle, kinetic properties can be predicted directly from the landscape profile using Kramers theory for diffusive barrier crossing, including the folding rates and the transition time for crossing the barrier. Landscape theory has been widely applied to interpret the time scales for protein conformational dynamics, but protein folding rates and transition times have not been calculated directly from experimentally measured free-energy profiles. We characterized the energy landscape for native folding of the prion protein using force spectroscopy, measuring the change in extension of a single protein molecule at high resolution as it unfolded/refolded under tension. Key parameters describing the landscape profile were first recovered from the distributions of unfolding and refolding forces, allowing the diffusion constant for barrier crossing and the transition path time across the barrier to be calculated. The full landscape profile was then reconstructed from force-extension curves, revealing a double-well potential with an extended, partially unfolded transition state. The barrier height and position were consistent with the previous results. Finally, Kramers theory was used to predict the folding rates from the landscape profile, recovering the values observed experimentally both under tension and at zero force in ensemble experiments. These results demonstrate how advances in single-molecule theory and experiment are harnessing the power of landscape formalisms to describe quantitatively the mechanics of folding.kinetics | optical trapping | single molecule F olding free-energy landscapes contain, in principle, all the information needed to describe the conformational dynamics of a protein, from the folding kinetics to the locations of energy barriers and the existence of intermediates or nonnative pathways (1). The competition between potential energy and entropy within the funnel-like landscape of most proteins typically allows the full landscape to be reduced to a one-dimensional free-energy profile along the reaction coordinate (2, 3). Folding rates may then be described using Kramers theory (4) in terms of diffusion across a barrier of height ΔG ‡ , where the barrier represents the bottleneck formed by the transition state ensemble. Kramers theory provides a physical derivation of the rates in terms of the shape of the energy profile ( Fig. 1):D is the diffusion constant over the barrier, κ w is the stiffness (curvature) of the potential well, κ b is the stiffness of the barrier, and k B is the Boltzmann constant. The time required to cross over the barrier, the transition path time τ tp , may also be found from the landscape profile (5-7): For an harmonic barrier with ΔG ‡ > 2 k B T (6),