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Revealing the binding modes and the unbinding of 14-3-3σ proteins and inhibitors by computational methods
The 14-3-3σ proteins are a family of ubiquitous conserved eukaryotic regulatory molecules involved in the regulation of mitogenic signal transduction, apoptotic cell death, and cell cycle control. A lot of small-molecule inhibitors have been identified for 14-3-3 protein-protein interactions (PPIs)....
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4644958/ https://www.ncbi.nlm.nih.gov/pubmed/26568041 http://dx.doi.org/10.1038/srep16481 |
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author | Hu, Guodong Cao, Zanxia Xu, Shicai Wang, Wei Wang, Jihua |
author_facet | Hu, Guodong Cao, Zanxia Xu, Shicai Wang, Wei Wang, Jihua |
author_sort | Hu, Guodong |
collection | PubMed |
description | The 14-3-3σ proteins are a family of ubiquitous conserved eukaryotic regulatory molecules involved in the regulation of mitogenic signal transduction, apoptotic cell death, and cell cycle control. A lot of small-molecule inhibitors have been identified for 14-3-3 protein-protein interactions (PPIs). In this work, we carried out molecular dynamics (MD) simulations combined with molecular mechanics generalized Born surface area (MM-GBSA) method to study the binding mechanism between a 14-3-3σ protein and its eight inhibitors. The ranking order of our calculated binding free energies is in agreement with the experimental results. We found that the binding free energies are mainly from interactions between the phosphate group of the inhibitors and the hydrophilic residues. To improve the binding free energy of Rx group, we designed the inhibitor R9 with group R9 = 4-hydroxypheny. However, we also found that the binding free energy of inhibitor R9 is smaller than that of inhibitor R1. By further using the steer molecular dynamics (SMD) simulations, we identified a new hydrogen bond between the inhibitor R8 and residue Arg64 in the pulling paths. The information obtained from this study may be valuable for future rational design of novel inhibitors, and provide better structural understanding of inhibitor binding to 14-3-3σ proteins. |
format | Online Article Text |
id | pubmed-4644958 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-46449582015-11-20 Revealing the binding modes and the unbinding of 14-3-3σ proteins and inhibitors by computational methods Hu, Guodong Cao, Zanxia Xu, Shicai Wang, Wei Wang, Jihua Sci Rep Article The 14-3-3σ proteins are a family of ubiquitous conserved eukaryotic regulatory molecules involved in the regulation of mitogenic signal transduction, apoptotic cell death, and cell cycle control. A lot of small-molecule inhibitors have been identified for 14-3-3 protein-protein interactions (PPIs). In this work, we carried out molecular dynamics (MD) simulations combined with molecular mechanics generalized Born surface area (MM-GBSA) method to study the binding mechanism between a 14-3-3σ protein and its eight inhibitors. The ranking order of our calculated binding free energies is in agreement with the experimental results. We found that the binding free energies are mainly from interactions between the phosphate group of the inhibitors and the hydrophilic residues. To improve the binding free energy of Rx group, we designed the inhibitor R9 with group R9 = 4-hydroxypheny. However, we also found that the binding free energy of inhibitor R9 is smaller than that of inhibitor R1. By further using the steer molecular dynamics (SMD) simulations, we identified a new hydrogen bond between the inhibitor R8 and residue Arg64 in the pulling paths. The information obtained from this study may be valuable for future rational design of novel inhibitors, and provide better structural understanding of inhibitor binding to 14-3-3σ proteins. Nature Publishing Group 2015-11-16 /pmc/articles/PMC4644958/ /pubmed/26568041 http://dx.doi.org/10.1038/srep16481 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Hu, Guodong Cao, Zanxia Xu, Shicai Wang, Wei Wang, Jihua Revealing the binding modes and the unbinding of 14-3-3σ proteins and inhibitors by computational methods |
title | Revealing the binding modes and the unbinding of 14-3-3σ proteins and inhibitors by computational methods |
title_full | Revealing the binding modes and the unbinding of 14-3-3σ proteins and inhibitors by computational methods |
title_fullStr | Revealing the binding modes and the unbinding of 14-3-3σ proteins and inhibitors by computational methods |
title_full_unstemmed | Revealing the binding modes and the unbinding of 14-3-3σ proteins and inhibitors by computational methods |
title_short | Revealing the binding modes and the unbinding of 14-3-3σ proteins and inhibitors by computational methods |
title_sort | revealing the binding modes and the unbinding of 14-3-3σ proteins and inhibitors by computational methods |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4644958/ https://www.ncbi.nlm.nih.gov/pubmed/26568041 http://dx.doi.org/10.1038/srep16481 |
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