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Uncertainty Quantification in Alchemical Free Energy Methods

[Image: see text] 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 acc...

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Autores principales: Bhati, Agastya P., Wan, Shunzhou, Hu, Yuan, Sherborne, Brad, Coveney, Peter V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2018
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6095638/
https://www.ncbi.nlm.nih.gov/pubmed/29678106
http://dx.doi.org/10.1021/acs.jctc.7b01143
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author Bhati, Agastya P.
Wan, Shunzhou
Hu, Yuan
Sherborne, Brad
Coveney, Peter V.
author_facet Bhati, Agastya P.
Wan, Shunzhou
Hu, Yuan
Sherborne, Brad
Coveney, Peter V.
author_sort Bhati, Agastya P.
collection PubMed
description [Image: see text] 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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spelling pubmed-60956382018-08-17 Uncertainty Quantification in Alchemical Free Energy Methods Bhati, Agastya P. Wan, Shunzhou Hu, Yuan Sherborne, Brad Coveney, Peter V. J Chem Theory Comput [Image: see text] 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. American Chemical Society 2018-04-20 2018-06-12 /pmc/articles/PMC6095638/ /pubmed/29678106 http://dx.doi.org/10.1021/acs.jctc.7b01143 Text en Copyright © 2018 American Chemical Society This is an open access article published under a Creative Commons Attribution (CC-BY) License (http://pubs.acs.org/page/policy/authorchoice_ccby_termsofuse.html) , which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited.
spellingShingle Bhati, Agastya P.
Wan, Shunzhou
Hu, Yuan
Sherborne, Brad
Coveney, Peter V.
Uncertainty Quantification in Alchemical Free Energy Methods
title Uncertainty Quantification in Alchemical Free Energy Methods
title_full Uncertainty Quantification in Alchemical Free Energy Methods
title_fullStr Uncertainty Quantification in Alchemical Free Energy Methods
title_full_unstemmed Uncertainty Quantification in Alchemical Free Energy Methods
title_short Uncertainty Quantification in Alchemical Free Energy Methods
title_sort uncertainty quantification in alchemical free energy methods
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6095638/
https://www.ncbi.nlm.nih.gov/pubmed/29678106
http://dx.doi.org/10.1021/acs.jctc.7b01143
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