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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...

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Autores principales: Ali, Hafiz Saqib, Chakravorty, Arghya, Kalayan, Jas, de Visser, Samuel P., Henchman, Richard H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
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.
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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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