Virtual Compound Screening and Molecular Dynamics to Identify New Inhibitors for Human Glutathione Reductase

2020 ◽  
Vol 17 (12) ◽  
pp. 1465-1474
Author(s):  
Mohsen Sargolzaei

Background: Oxidative stress is a defense mechanism against malarial intracellular parasite infection. On the other hand, the Human glutathione reductase enzyme reduces oxidative stress in the cells, making the inhibitors of this enzyme a promising candidate for malaria treatment. Objective: Rational drug design was used in this work to plan new human glutathione reductase inhibitors. Methods: Virtual screening was performed using the ZINC database and molecular docking was used to detect appropriate human glutathione reductase inhibitors. Based on the docking scores obtained, the top three highest-ranked ligands were selected for the molecular dynamics simulation study. The MD simulation was performed for each complex in a length of 100 ns. Results: RMSD, RMSF and hydrogen bond analyzes were performed on the derived trajectories. Molecular mechanics generalized born surface area (MM-GBSA) and pairwise per-residue free energy decomposition analyzes were performed for the determination of binding free energy and the determination of dominant residues involved in the binding process, respectively. The binding free energy analysis showed that the molecule of 3-((7-(furan-2-ylmethyl)-5,6-diphenyl-7H-pyrrolo[2,3- d] pyrimidin-4-yl) amino) propan-1-ol is the most potent inhibitor among the molecules considered against human glutathione reductase enzyme. Conclusion: This molecule can be considered a novel candidate for antimalarial treatments.

Molecules ◽  
2018 ◽  
Vol 23 (11) ◽  
pp. 3018 ◽  
Author(s):  
Gao Tu ◽  
Tingting Fu ◽  
Fengyuan Yang ◽  
Lixia Yao ◽  
Weiwei Xue ◽  
...  

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-CT1290-1310) remain elusive and the interaction between GluN2B-CT1290-1310 and DAPK1 is unknown. In this study, the mechanism of interaction between DAPK1 and GluN2B-CT1290-1310 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-CT1290-1310 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-CT1290–1310/DAPK1. Moreover, through per-residue free energy decomposition and in silico alanine scanning analysis, hotspot residues between GluN2B-CT1290-1310 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-CT1290-1310 and DAPK1 interface.


2016 ◽  
Vol 12 (11) ◽  
pp. 3396-3406 ◽  
Author(s):  
Juan Wang ◽  
Mao Shu ◽  
Yuanqiang Wang ◽  
Yong Hu ◽  
Yuanliang Wang ◽  
...  

Employing the combined strategy to identify novel CCR5 inhibitors and provide a basis for rational drug design.


2016 ◽  
Vol 12 (4) ◽  
pp. 1174-1182 ◽  
Author(s):  
Liang Fang ◽  
Xiaojian Wang ◽  
Meiyang Xi ◽  
Tianqi Liu ◽  
Dali Yin

Three residues of SK1 were identified important for selective SK1 inhibitory activity via SK2 homology model building, molecular dynamics simulation, and MM-PBSA studies.


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