Cargando…
Gamma estimator of Jarzynski equality for recovering binding energies from noisy dynamic data sets
A fundamental problem in thermodynamics is the recovery of macroscopic equilibrated interaction energies from experimentally measured single-molecular interactions. The Jarzynski equality forms a theoretical basis in recovering the free energy difference between two states from exponentially average...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7606380/ https://www.ncbi.nlm.nih.gov/pubmed/33139719 http://dx.doi.org/10.1038/s41467-020-19233-7 |
_version_ | 1783604472402935808 |
---|---|
author | Kuang, Zhifeng Singh, Kristi M. Oliver, Daniel J. Dennis, Patrick B. Perry, Carole C. Naik, Rajesh R. |
author_facet | Kuang, Zhifeng Singh, Kristi M. Oliver, Daniel J. Dennis, Patrick B. Perry, Carole C. Naik, Rajesh R. |
author_sort | Kuang, Zhifeng |
collection | PubMed |
description | A fundamental problem in thermodynamics is the recovery of macroscopic equilibrated interaction energies from experimentally measured single-molecular interactions. The Jarzynski equality forms a theoretical basis in recovering the free energy difference between two states from exponentially averaged work performed to switch the states. In practice, the exponentially averaged work value is estimated as the mean of finite samples. Numerical simulations have shown that samples having thousands of measurements are not large enough for the mean to converge when the fluctuation of external work is above 4 k(B)T, which is easily observable in biomolecular interactions. We report the first example of a statistical gamma work distribution applied to single molecule pulling experiments. The Gibbs free energy of surface adsorption can be accurately evaluated even for a small sample size. The values obtained are comparable to those derived from multi-parametric surface plasmon resonance measurements and molecular dynamics simulations. |
format | Online Article Text |
id | pubmed-7606380 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-76063802020-11-10 Gamma estimator of Jarzynski equality for recovering binding energies from noisy dynamic data sets Kuang, Zhifeng Singh, Kristi M. Oliver, Daniel J. Dennis, Patrick B. Perry, Carole C. Naik, Rajesh R. Nat Commun Article A fundamental problem in thermodynamics is the recovery of macroscopic equilibrated interaction energies from experimentally measured single-molecular interactions. The Jarzynski equality forms a theoretical basis in recovering the free energy difference between two states from exponentially averaged work performed to switch the states. In practice, the exponentially averaged work value is estimated as the mean of finite samples. Numerical simulations have shown that samples having thousands of measurements are not large enough for the mean to converge when the fluctuation of external work is above 4 k(B)T, which is easily observable in biomolecular interactions. We report the first example of a statistical gamma work distribution applied to single molecule pulling experiments. The Gibbs free energy of surface adsorption can be accurately evaluated even for a small sample size. The values obtained are comparable to those derived from multi-parametric surface plasmon resonance measurements and molecular dynamics simulations. Nature Publishing Group UK 2020-11-02 /pmc/articles/PMC7606380/ /pubmed/33139719 http://dx.doi.org/10.1038/s41467-020-19233-7 Text en © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Kuang, Zhifeng Singh, Kristi M. Oliver, Daniel J. Dennis, Patrick B. Perry, Carole C. Naik, Rajesh R. Gamma estimator of Jarzynski equality for recovering binding energies from noisy dynamic data sets |
title | Gamma estimator of Jarzynski equality for recovering binding energies from noisy dynamic data sets |
title_full | Gamma estimator of Jarzynski equality for recovering binding energies from noisy dynamic data sets |
title_fullStr | Gamma estimator of Jarzynski equality for recovering binding energies from noisy dynamic data sets |
title_full_unstemmed | Gamma estimator of Jarzynski equality for recovering binding energies from noisy dynamic data sets |
title_short | Gamma estimator of Jarzynski equality for recovering binding energies from noisy dynamic data sets |
title_sort | gamma estimator of jarzynski equality for recovering binding energies from noisy dynamic data sets |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7606380/ https://www.ncbi.nlm.nih.gov/pubmed/33139719 http://dx.doi.org/10.1038/s41467-020-19233-7 |
work_keys_str_mv | AT kuangzhifeng gammaestimatorofjarzynskiequalityforrecoveringbindingenergiesfromnoisydynamicdatasets AT singhkristim gammaestimatorofjarzynskiequalityforrecoveringbindingenergiesfromnoisydynamicdatasets AT oliverdanielj gammaestimatorofjarzynskiequalityforrecoveringbindingenergiesfromnoisydynamicdatasets AT dennispatrickb gammaestimatorofjarzynskiequalityforrecoveringbindingenergiesfromnoisydynamicdatasets AT perrycarolec gammaestimatorofjarzynskiequalityforrecoveringbindingenergiesfromnoisydynamicdatasets AT naikrajeshr gammaestimatorofjarzynskiequalityforrecoveringbindingenergiesfromnoisydynamicdatasets |