Non-Boltzmann sampling and Bennett's acceptance ratio method: how to profit from bending the rules |
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Authors: | König Gerhard Boresch Stefan |
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Institution: | Department of Computational Biological Chemistry, University of Vienna, W?hringerstra?e 17, A‐1090 Vienna, Austria |
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Abstract: | The exact computation of free energy differences requires adequate sampling of all relevant low energy conformations. Especially in systems with rugged energy surfaces, adequate sampling can only be achieved by biasing the exploration process, thus yielding non-Boltzmann probability distributions. To obtain correct free energy differences from such simulations, it is necessary to account for the effects of the bias in the postproduction analysis. We demonstrate that this can be accomplished quite simply with a slight modification of Bennett's Acceptance Ratio method, referring to this technique as Non-Boltzmann Bennett. We illustrate the method by several examples and show how a creative choice of the biased state(s) used during sampling can also improve the efficiency of free energy simulations. |
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Keywords: | free energy simulation Bennett's acceptance ratio method Non‐Boltzmann sampling biasing potential Non‐Boltzmann Bennett |
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