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Determining Free-Energy Differences Through Variationally Derived Intermediates

[Image: see text] Free-energy calculations based on atomistic Hamiltonians and sampling are key to a first-principles understanding of biomolecular processes, material properties, and macromolecular chemistry. Here, we generalize the free-energy perturbation method and derive nonlinear Hamiltonian t...

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Detalles Bibliográficos
Autores principales: Reinhardt, Martin, Grubmüller, Helmut
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2020
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7303968/
https://www.ncbi.nlm.nih.gov/pubmed/32392408
http://dx.doi.org/10.1021/acs.jctc.0c00106
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author Reinhardt, Martin
Grubmüller, Helmut
author_facet Reinhardt, Martin
Grubmüller, Helmut
author_sort Reinhardt, Martin
collection PubMed
description [Image: see text] Free-energy calculations based on atomistic Hamiltonians and sampling are key to a first-principles understanding of biomolecular processes, material properties, and macromolecular chemistry. Here, we generalize the free-energy perturbation method and derive nonlinear Hamiltonian transformation sequences yielding free-energy estimates with minimal mean squared error with respect to the exact values. Our variational approach applies to finite sampling and holds for any finite number of intermediate states. We show that our sequences are also optimal for the Bennett acceptance ratio (BAR) method, thereby generalizing BAR to small sampling sizes and non-Gaussian error distributions.
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spelling pubmed-73039682020-06-19 Determining Free-Energy Differences Through Variationally Derived Intermediates Reinhardt, Martin Grubmüller, Helmut J Chem Theory Comput [Image: see text] Free-energy calculations based on atomistic Hamiltonians and sampling are key to a first-principles understanding of biomolecular processes, material properties, and macromolecular chemistry. Here, we generalize the free-energy perturbation method and derive nonlinear Hamiltonian transformation sequences yielding free-energy estimates with minimal mean squared error with respect to the exact values. Our variational approach applies to finite sampling and holds for any finite number of intermediate states. We show that our sequences are also optimal for the Bennett acceptance ratio (BAR) method, thereby generalizing BAR to small sampling sizes and non-Gaussian error distributions. American Chemical Society 2020-05-11 2020-06-09 /pmc/articles/PMC7303968/ /pubmed/32392408 http://dx.doi.org/10.1021/acs.jctc.0c00106 Text en Copyright © 2020 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 Reinhardt, Martin
Grubmüller, Helmut
Determining Free-Energy Differences Through Variationally Derived Intermediates
title Determining Free-Energy Differences Through Variationally Derived Intermediates
title_full Determining Free-Energy Differences Through Variationally Derived Intermediates
title_fullStr Determining Free-Energy Differences Through Variationally Derived Intermediates
title_full_unstemmed Determining Free-Energy Differences Through Variationally Derived Intermediates
title_short Determining Free-Energy Differences Through Variationally Derived Intermediates
title_sort determining free-energy differences through variationally derived intermediates
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7303968/
https://www.ncbi.nlm.nih.gov/pubmed/32392408
http://dx.doi.org/10.1021/acs.jctc.0c00106
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