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Energy–entropy method using multiscale cell correlation to calculate binding free energies in the SAMPL8 host–guest challenge
Free energy drives a wide range of molecular processes such as solvation, binding, chemical reactions and conformational change. Given the central importance of binding, a wide range of methods exist to calculate it, whether based on scoring functions, machine-learning, classical or electronic struc...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8367938/ https://www.ncbi.nlm.nih.gov/pubmed/34264476 http://dx.doi.org/10.1007/s10822-021-00406-5 |
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author | Ali, Hafiz Saqib Chakravorty, Arghya Kalayan, Jas de Visser, Samuel P. Henchman, Richard H. |
author_facet | Ali, Hafiz Saqib Chakravorty, Arghya Kalayan, Jas de Visser, Samuel P. Henchman, Richard H. |
author_sort | Ali, Hafiz Saqib |
collection | PubMed |
description | Free energy drives a wide range of molecular processes such as solvation, binding, chemical reactions and conformational change. Given the central importance of binding, a wide range of methods exist to calculate it, whether based on scoring functions, machine-learning, classical or electronic structure methods, alchemy, or explicit evaluation of energy and entropy. Here we present a new energy–entropy (EE) method to calculate the host–guest binding free energy directly from molecular dynamics (MD) simulation. Entropy is evaluated using Multiscale Cell Correlation (MCC) which uses force and torque covariance and contacts at two different length scales. The method is tested on a series of seven host–guest complexes in the SAMPL8 (Statistical Assessment of the Modeling of Proteins and Ligands) “Drugs of Abuse” Blind Challenge. The EE-MCC binding free energies are found to agree with experiment with an average error of 0.9 kcal mol(−1). MCC makes clear the origin of the entropy changes, showing that the large loss of positional, orientational, and to a lesser extent conformational entropy of each binding guest is compensated for by a gain in orientational entropy of water released to bulk, combined with smaller decreases in vibrational entropy of the host, guest and contacting water. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10822-021-00406-5. |
format | Online Article Text |
id | pubmed-8367938 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-83679382021-08-31 Energy–entropy method using multiscale cell correlation to calculate binding free energies in the SAMPL8 host–guest challenge Ali, Hafiz Saqib Chakravorty, Arghya Kalayan, Jas de Visser, Samuel P. Henchman, Richard H. J Comput Aided Mol Des Article Free energy drives a wide range of molecular processes such as solvation, binding, chemical reactions and conformational change. Given the central importance of binding, a wide range of methods exist to calculate it, whether based on scoring functions, machine-learning, classical or electronic structure methods, alchemy, or explicit evaluation of energy and entropy. Here we present a new energy–entropy (EE) method to calculate the host–guest binding free energy directly from molecular dynamics (MD) simulation. Entropy is evaluated using Multiscale Cell Correlation (MCC) which uses force and torque covariance and contacts at two different length scales. The method is tested on a series of seven host–guest complexes in the SAMPL8 (Statistical Assessment of the Modeling of Proteins and Ligands) “Drugs of Abuse” Blind Challenge. The EE-MCC binding free energies are found to agree with experiment with an average error of 0.9 kcal mol(−1). MCC makes clear the origin of the entropy changes, showing that the large loss of positional, orientational, and to a lesser extent conformational entropy of each binding guest is compensated for by a gain in orientational entropy of water released to bulk, combined with smaller decreases in vibrational entropy of the host, guest and contacting water. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10822-021-00406-5. Springer International Publishing 2021-07-15 2021 /pmc/articles/PMC8367938/ /pubmed/34264476 http://dx.doi.org/10.1007/s10822-021-00406-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Ali, Hafiz Saqib Chakravorty, Arghya Kalayan, Jas de Visser, Samuel P. Henchman, Richard H. Energy–entropy method using multiscale cell correlation to calculate binding free energies in the SAMPL8 host–guest challenge |
title | Energy–entropy method using multiscale cell correlation to calculate binding free energies in the SAMPL8 host–guest challenge |
title_full | Energy–entropy method using multiscale cell correlation to calculate binding free energies in the SAMPL8 host–guest challenge |
title_fullStr | Energy–entropy method using multiscale cell correlation to calculate binding free energies in the SAMPL8 host–guest challenge |
title_full_unstemmed | Energy–entropy method using multiscale cell correlation to calculate binding free energies in the SAMPL8 host–guest challenge |
title_short | Energy–entropy method using multiscale cell correlation to calculate binding free energies in the SAMPL8 host–guest challenge |
title_sort | energy–entropy method using multiscale cell correlation to calculate binding free energies in the sampl8 host–guest challenge |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8367938/ https://www.ncbi.nlm.nih.gov/pubmed/34264476 http://dx.doi.org/10.1007/s10822-021-00406-5 |
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