Cargando…
Prediction of GluN2B-CT(1290-1310)/DAPK1 Interaction by Protein–Peptide Docking and Molecular Dynamics Simulation
The interaction of death-associated protein kinase 1 (DAPK1) with the 2B subunit (GluN2B) C-terminus of N-methyl-D-aspartate receptor (NMDAR) plays a critical role in the pathophysiology of depression and is considered a potential target for the structure-based discovery of new antidepressants. Howe...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6278559/ https://www.ncbi.nlm.nih.gov/pubmed/30463177 http://dx.doi.org/10.3390/molecules23113018 |
_version_ | 1783378394533068800 |
---|---|
author | Tu, Gao Fu, Tingting Yang, Fengyuan Yao, Lixia Xue, Weiwei Zhu, Feng |
author_facet | Tu, Gao Fu, Tingting Yang, Fengyuan Yao, Lixia Xue, Weiwei Zhu, Feng |
author_sort | Tu, Gao |
collection | PubMed |
description | The interaction of death-associated protein kinase 1 (DAPK1) with the 2B subunit (GluN2B) C-terminus of N-methyl-D-aspartate receptor (NMDAR) plays a critical role in the pathophysiology of depression and is considered a potential target for the structure-based discovery of new antidepressants. However, the 3D structures of C-terminus residues 1290–1310 of GluN2B (GluN2B-CT(1290-1310)) remain elusive and the interaction between GluN2B-CT(1290-1310) and DAPK1 is unknown. In this study, the mechanism of interaction between DAPK1 and GluN2B-CT(1290-1310) was predicted by computational simulation methods including protein–peptide docking and molecular dynamics (MD) simulation. Based on the equilibrated MD trajectory, the total binding free energy between GluN2B-CT(1290-1310) and DAPK1 was computed by the mechanics generalized born surface area (MM/GBSA) approach. The simulation results showed that hydrophobic, van der Waals, and electrostatic interactions are responsible for the binding of GluN2B-CT(1290–1310)/DAPK1. Moreover, through per-residue free energy decomposition and in silico alanine scanning analysis, hotspot residues between GluN2B-CT(1290-1310) and DAPK1 interface were identified. In conclusion, this work predicted the binding mode and quantitatively characterized the protein–peptide interface, which will aid in the discovery of novel drugs targeting the GluN2B-CT(1290-1310) and DAPK1 interface. |
format | Online Article Text |
id | pubmed-6278559 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-62785592018-12-13 Prediction of GluN2B-CT(1290-1310)/DAPK1 Interaction by Protein–Peptide Docking and Molecular Dynamics Simulation Tu, Gao Fu, Tingting Yang, Fengyuan Yao, Lixia Xue, Weiwei Zhu, Feng Molecules Article The interaction of death-associated protein kinase 1 (DAPK1) with the 2B subunit (GluN2B) C-terminus of N-methyl-D-aspartate receptor (NMDAR) plays a critical role in the pathophysiology of depression and is considered a potential target for the structure-based discovery of new antidepressants. However, the 3D structures of C-terminus residues 1290–1310 of GluN2B (GluN2B-CT(1290-1310)) remain elusive and the interaction between GluN2B-CT(1290-1310) and DAPK1 is unknown. In this study, the mechanism of interaction between DAPK1 and GluN2B-CT(1290-1310) was predicted by computational simulation methods including protein–peptide docking and molecular dynamics (MD) simulation. Based on the equilibrated MD trajectory, the total binding free energy between GluN2B-CT(1290-1310) and DAPK1 was computed by the mechanics generalized born surface area (MM/GBSA) approach. The simulation results showed that hydrophobic, van der Waals, and electrostatic interactions are responsible for the binding of GluN2B-CT(1290–1310)/DAPK1. Moreover, through per-residue free energy decomposition and in silico alanine scanning analysis, hotspot residues between GluN2B-CT(1290-1310) and DAPK1 interface were identified. In conclusion, this work predicted the binding mode and quantitatively characterized the protein–peptide interface, which will aid in the discovery of novel drugs targeting the GluN2B-CT(1290-1310) and DAPK1 interface. MDPI 2018-11-19 /pmc/articles/PMC6278559/ /pubmed/30463177 http://dx.doi.org/10.3390/molecules23113018 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Tu, Gao Fu, Tingting Yang, Fengyuan Yao, Lixia Xue, Weiwei Zhu, Feng Prediction of GluN2B-CT(1290-1310)/DAPK1 Interaction by Protein–Peptide Docking and Molecular Dynamics Simulation |
title | Prediction of GluN2B-CT(1290-1310)/DAPK1 Interaction by Protein–Peptide Docking and Molecular Dynamics Simulation |
title_full | Prediction of GluN2B-CT(1290-1310)/DAPK1 Interaction by Protein–Peptide Docking and Molecular Dynamics Simulation |
title_fullStr | Prediction of GluN2B-CT(1290-1310)/DAPK1 Interaction by Protein–Peptide Docking and Molecular Dynamics Simulation |
title_full_unstemmed | Prediction of GluN2B-CT(1290-1310)/DAPK1 Interaction by Protein–Peptide Docking and Molecular Dynamics Simulation |
title_short | Prediction of GluN2B-CT(1290-1310)/DAPK1 Interaction by Protein–Peptide Docking and Molecular Dynamics Simulation |
title_sort | prediction of glun2b-ct(1290-1310)/dapk1 interaction by protein–peptide docking and molecular dynamics simulation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6278559/ https://www.ncbi.nlm.nih.gov/pubmed/30463177 http://dx.doi.org/10.3390/molecules23113018 |
work_keys_str_mv | AT tugao predictionofglun2bct12901310dapk1interactionbyproteinpeptidedockingandmoleculardynamicssimulation AT futingting predictionofglun2bct12901310dapk1interactionbyproteinpeptidedockingandmoleculardynamicssimulation AT yangfengyuan predictionofglun2bct12901310dapk1interactionbyproteinpeptidedockingandmoleculardynamicssimulation AT yaolixia predictionofglun2bct12901310dapk1interactionbyproteinpeptidedockingandmoleculardynamicssimulation AT xueweiwei predictionofglun2bct12901310dapk1interactionbyproteinpeptidedockingandmoleculardynamicssimulation AT zhufeng predictionofglun2bct12901310dapk1interactionbyproteinpeptidedockingandmoleculardynamicssimulation |