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The impact of interior dielectric constant and entropic change on HIV-1 complex binding free energy prediction

At present, the calculated binding free energy obtained using the molecular mechanics/Poisson-Boltzmann (Generalized-Born) surface area (MM/PB(GB)SA) method is overestimated due to the lack of knowledge of suitable interior dielectric constants in the simulation on the interaction of Human Immunodef...

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Autores principales: Li, Yuchen, Cong, Yalong, Feng, Guoqiang, Zhong, Susu, Zhang, John Z. H., Sun, Huiyong, Duan, Lili
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Crystallographic Association 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6404944/
https://www.ncbi.nlm.nih.gov/pubmed/30868080
http://dx.doi.org/10.1063/1.5058172
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author Li, Yuchen
Cong, Yalong
Feng, Guoqiang
Zhong, Susu
Zhang, John Z. H.
Sun, Huiyong
Duan, Lili
author_facet Li, Yuchen
Cong, Yalong
Feng, Guoqiang
Zhong, Susu
Zhang, John Z. H.
Sun, Huiyong
Duan, Lili
author_sort Li, Yuchen
collection PubMed
description At present, the calculated binding free energy obtained using the molecular mechanics/Poisson-Boltzmann (Generalized-Born) surface area (MM/PB(GB)SA) method is overestimated due to the lack of knowledge of suitable interior dielectric constants in the simulation on the interaction of Human Immunodeficiency Virus (HIV-1) protease systems with inhibitors. Therefore, the impact of different values of the interior dielectric constant and the entropic contribution when using the MM/PB(GB)SA method to calculate the binding free energy was systemically evaluated. Our results show that the use of higher interior dielectric constants (1.4–2.0) can clearly improve the predictive accuracy of the MM/PBSA and MM/GBSA methods, and computational errors are significantly reduced by including the effects of electronic polarization and using a new highly efficient interaction entropy (IE) method to calculate the entropic contribution. The suitable range for the interior dielectric constant is 1.4–1.6 for the MM/PBSA method; within this range, the correlation coefficient fluctuates around 0.84, and the mean absolute error fluctuates around 2 kcal/mol. Similarly, an interior dielectric constant of 1.8–2.0 produces a correlation coefficient of approximately 0.76 when using the MM/GBSA method. In addition, the entropic contribution of each individual residue was further calculated using the IE method to predict hot-spot residues, and the detailed binding mechanisms underlying the interactions of the HIV-1 protease, its inhibitors, and bridging water molecules were investigated. In this study, the use of a higher interior dielectric constant and the IE method can improve the calculation accuracy of the HIV-1 system.
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spelling pubmed-64049442019-03-13 The impact of interior dielectric constant and entropic change on HIV-1 complex binding free energy prediction Li, Yuchen Cong, Yalong Feng, Guoqiang Zhong, Susu Zhang, John Z. H. Sun, Huiyong Duan, Lili Struct Dyn ARTICLES At present, the calculated binding free energy obtained using the molecular mechanics/Poisson-Boltzmann (Generalized-Born) surface area (MM/PB(GB)SA) method is overestimated due to the lack of knowledge of suitable interior dielectric constants in the simulation on the interaction of Human Immunodeficiency Virus (HIV-1) protease systems with inhibitors. Therefore, the impact of different values of the interior dielectric constant and the entropic contribution when using the MM/PB(GB)SA method to calculate the binding free energy was systemically evaluated. Our results show that the use of higher interior dielectric constants (1.4–2.0) can clearly improve the predictive accuracy of the MM/PBSA and MM/GBSA methods, and computational errors are significantly reduced by including the effects of electronic polarization and using a new highly efficient interaction entropy (IE) method to calculate the entropic contribution. The suitable range for the interior dielectric constant is 1.4–1.6 for the MM/PBSA method; within this range, the correlation coefficient fluctuates around 0.84, and the mean absolute error fluctuates around 2 kcal/mol. Similarly, an interior dielectric constant of 1.8–2.0 produces a correlation coefficient of approximately 0.76 when using the MM/GBSA method. In addition, the entropic contribution of each individual residue was further calculated using the IE method to predict hot-spot residues, and the detailed binding mechanisms underlying the interactions of the HIV-1 protease, its inhibitors, and bridging water molecules were investigated. In this study, the use of a higher interior dielectric constant and the IE method can improve the calculation accuracy of the HIV-1 system. American Crystallographic Association 2018-12-14 /pmc/articles/PMC6404944/ /pubmed/30868080 http://dx.doi.org/10.1063/1.5058172 Text en © 2018 Author(s). 2329-7778/2018/5(6)/064101/22 All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle ARTICLES
Li, Yuchen
Cong, Yalong
Feng, Guoqiang
Zhong, Susu
Zhang, John Z. H.
Sun, Huiyong
Duan, Lili
The impact of interior dielectric constant and entropic change on HIV-1 complex binding free energy prediction
title The impact of interior dielectric constant and entropic change on HIV-1 complex binding free energy prediction
title_full The impact of interior dielectric constant and entropic change on HIV-1 complex binding free energy prediction
title_fullStr The impact of interior dielectric constant and entropic change on HIV-1 complex binding free energy prediction
title_full_unstemmed The impact of interior dielectric constant and entropic change on HIV-1 complex binding free energy prediction
title_short The impact of interior dielectric constant and entropic change on HIV-1 complex binding free energy prediction
title_sort impact of interior dielectric constant and entropic change on hiv-1 complex binding free energy prediction
topic ARTICLES
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6404944/
https://www.ncbi.nlm.nih.gov/pubmed/30868080
http://dx.doi.org/10.1063/1.5058172
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