Absolute Binding Free Energy Calculations for Highly Flexible Protein MDM2 and Its Inhibitors

Reliable prediction of binding affinities for ligand-receptor complex has been the primary goal of a structure-based drug design process. In this respect,<b> </b>alchemical methods are evolving as a popular choice to predict the binding affinities for biomolecular complexes. However, the...

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Main Authors: Nidhi Singh, Wenjin Li
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:International Journal of Molecular Sciences
Subjects:
Online Access:https://www.mdpi.com/1422-0067/21/13/4765
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spelling doaj-fc0e517031264909b48909a5194076d72020-11-25T03:24:23ZengMDPI AGInternational Journal of Molecular Sciences1661-65961422-00672020-07-01214765476510.3390/ijms21134765Absolute Binding Free Energy Calculations for Highly Flexible Protein MDM2 and Its InhibitorsNidhi Singh0Wenjin Li1Institute for Advanced Study, Shenzhen University, Shenzhen 518060, ChinaInstitute for Advanced Study, Shenzhen University, Shenzhen 518060, ChinaReliable prediction of binding affinities for ligand-receptor complex has been the primary goal of a structure-based drug design process. In this respect,<b> </b>alchemical methods are evolving as a popular choice to predict the binding affinities for biomolecular complexes. However, the highly flexible protein-ligand systems pose a challenge to the accuracy of binding free energy calculations mostly due to insufficient sampling. Herein, integrated computational protocol combining free energy perturbation based absolute binding free energy calculation with free energy landscape method was proposed for improved prediction of binding free energy for flexible protein-ligand complexes. The proposed method is applied to the dataset of various classes of p53-MDM2 ( murine double minute 2) inhibitors. The absolute binding free energy calculations for MDMX (murine double minute X) resulted in a mean absolute error value of 0.816 kcal/mol while it is 3.08 kcal/mol for MDM2, a highly flexible protein compared to MDMX. With the integration of the free energy landscape method, the mean absolute error for MDM2 is improved to 1.95 kcal/mol.https://www.mdpi.com/1422-0067/21/13/4765binding free energyfree energy perturbationmolecular dynamicsMDM2
collection DOAJ
language English
format Article
sources DOAJ
author Nidhi Singh
Wenjin Li
spellingShingle Nidhi Singh
Wenjin Li
Absolute Binding Free Energy Calculations for Highly Flexible Protein MDM2 and Its Inhibitors
International Journal of Molecular Sciences
binding free energy
free energy perturbation
molecular dynamics
MDM2
author_facet Nidhi Singh
Wenjin Li
author_sort Nidhi Singh
title Absolute Binding Free Energy Calculations for Highly Flexible Protein MDM2 and Its Inhibitors
title_short Absolute Binding Free Energy Calculations for Highly Flexible Protein MDM2 and Its Inhibitors
title_full Absolute Binding Free Energy Calculations for Highly Flexible Protein MDM2 and Its Inhibitors
title_fullStr Absolute Binding Free Energy Calculations for Highly Flexible Protein MDM2 and Its Inhibitors
title_full_unstemmed Absolute Binding Free Energy Calculations for Highly Flexible Protein MDM2 and Its Inhibitors
title_sort absolute binding free energy calculations for highly flexible protein mdm2 and its inhibitors
publisher MDPI AG
series International Journal of Molecular Sciences
issn 1661-6596
1422-0067
publishDate 2020-07-01
description Reliable prediction of binding affinities for ligand-receptor complex has been the primary goal of a structure-based drug design process. In this respect,<b> </b>alchemical methods are evolving as a popular choice to predict the binding affinities for biomolecular complexes. However, the highly flexible protein-ligand systems pose a challenge to the accuracy of binding free energy calculations mostly due to insufficient sampling. Herein, integrated computational protocol combining free energy perturbation based absolute binding free energy calculation with free energy landscape method was proposed for improved prediction of binding free energy for flexible protein-ligand complexes. The proposed method is applied to the dataset of various classes of p53-MDM2 ( murine double minute 2) inhibitors. The absolute binding free energy calculations for MDMX (murine double minute X) resulted in a mean absolute error value of 0.816 kcal/mol while it is 3.08 kcal/mol for MDM2, a highly flexible protein compared to MDMX. With the integration of the free energy landscape method, the mean absolute error for MDM2 is improved to 1.95 kcal/mol.
topic binding free energy
free energy perturbation
molecular dynamics
MDM2
url https://www.mdpi.com/1422-0067/21/13/4765
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