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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American
Chemical Society
2018
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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. |
format | Online Article Text |
id | pubmed-6095638 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | American
Chemical Society |
record_format | MEDLINE/PubMed |
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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