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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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 |
work_keys_str_mv |
AT nidhisingh absolutebindingfreeenergycalculationsforhighlyflexibleproteinmdm2anditsinhibitors AT wenjinli absolutebindingfreeenergycalculationsforhighlyflexibleproteinmdm2anditsinhibitors |
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