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BAR-based Optimum Adaptive Sampling Regime for Variance Minimization in alchemical transformation

Abstract

The efficiency of alchemical free energy simulation with staging strategy is improved by adaptively manipulating the significance of each ensemble followed by importance sampling. The OBAR (optimum BAR) method introduced in this work with explicit consideration of the statistical inefficiency in each ensemble outperforms the traditional equal time rule which is used in standard applications of alchemical transformation with window sampling regime in the sense of minimizing the total variance of free energy estimate. The Time Derivative of total Variance (TDV) is proposed for OBAR criterion which is linearly dependent on the variance and is more sensitive to the phase space overlap than the overlap matrix. The performance of OBAR workflow is demonstrated for solvation of several small molecules and a protein ligand binding system.

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Publication details

The article was received on 11 Mar 2017, accepted on 12 May 2017 and first published on 15 May 2017


Article type: Paper
DOI: 10.1039/C7CP01561E
Citation: Phys. Chem. Chem. Phys., 2017, Accepted Manuscript
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    BAR-based Optimum Adaptive Sampling Regime for Variance Minimization in alchemical transformation

    Z. Sun, X. Wang and J. Z.H. Zhang, Phys. Chem. Chem. Phys., 2017, Accepted Manuscript , DOI: 10.1039/C7CP01561E

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