Uncertainty Quantification in Alchemical Free Energy Methods.

J Chem Theory Comput

Centre for Computational Science, Department of Chemistry , University College London, 20 Gordon Street , London WC1H 0AJ , United Kingdom.

Published: June 2018

Alchemical free energy methods have gained much importance recently from several reports of improved ligand-protein binding affinity predictions based on their implementation using molecular dynamics simulations. A large number of variants of such methods implementing different accelerated sampling techniques and free energy estimators are available, each claimed to be better than the others in its own way. However, the key features of reproducibility and quantification of associated uncertainties in such methods have barely been discussed. Here, we apply a systematic protocol for uncertainty quantification to a number of popular alchemical free energy methods, covering both absolute and relative free energy predictions. We show that a reliable measure of error estimation is provided by ensemble simulation-an ensemble of independent MD simulations-which applies irrespective of the free energy method. The need to use ensemble methods is fundamental and holds regardless of the duration of time of the molecular dynamics simulations performed.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6095638PMC
http://dx.doi.org/10.1021/acs.jctc.7b01143DOI Listing

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