scholarly journals Non-RBM Mutations Impaired SARS-CoV-2 Spike Protein Regulated to the ACE2 Receptor Based on Molecular Dynamic Simulation

2021 ◽  
Vol 8 ◽  
Author(s):  
Yaoqiang Du ◽  
Hao Wang ◽  
Linjie Chen ◽  
Quan Fang ◽  
Biqin Zhang ◽  
...  
Keyword(s):  
Free Energy ◽  
Receptor Binding ◽  
Electrostatic Interactions ◽  
Hydrophobic Interactions ◽  
Binding Free Energy ◽  
Host Cells ◽  
Dynamics Simulation ◽  
Random Coil ◽  
Binding Motif ◽  
Binding Loop

The emergence of novel coronavirus mutants is a main factor behind the deterioration of the epidemic situation. Further studies into the pathogenicity of these mutants are thus urgently needed. Binding of the spinous protein receptor binding domain (RBD) of SARS-CoV-2 to the angiotensin-converting enzyme 2 (ACE2) receptor was shown to initiate coronavirus entry into host cells and lead to their infection. The receptor-binding motif (RBM, 438–506) is a region that directly interacts with ACE2 receptor in the RBD and plays a crucial role in determining affinity. To unravel how mutations in the non-RBM regions impact the interaction between RBD and ACE2, we selected three non-RBM mutant systems (N354D, D364Y, and V367F) from the documented clinical cases, and the Q498A mutant system located in the RBM region served as the control. Molecular dynamics simulation was conducted on the mutant systems and the wild-type (WT) system, and verified experiments also performed. Non-RBM mutations have been shown not only to change conformation of the RBM region but also to significantly influence its hydrogen bonding and hydrophobic interactions. In particular, the D364Y and V367F systems showed a higher affinity for ACE2 owing to their electrostatic interactions and polar solvation energy changes. In addition, although the binding free energy at this point increased after the mutation of N354D, the conformation of the random coil (Pro384-Asp389) was looser than that of other systems, and the combined effect weakened the binding free energy between RBD and ACE2. Interestingly, we also found a random coil (Ala475-Gly485). This random coil is very sensitive to mutations, and both types of mutations increase the binding free energy of residues in this region. We found that the binding loop (Tyr495-Tyr505) in the RBD domain strongly binds to Lys353, an important residue of the ACE2 domain previously identified. The binding free energy of the non-RBM mutant group at the binding loop had positive and negative changes, and these changes were more obvious than that of the Q498A system. The results of this study elucidate the effect of non-RBM mutation on ACE2-RBD binding, and provide new insights for SARS-CoV-2 mutation research.

scholarly journals Prediction of GluN2B-CT1290-1310/DAPK1 Interaction by Protein–Peptide Docking and Molecular Dynamics Simulation

Molecules ◽  
2018 ◽  
Vol 23 (11) ◽  
pp. 3018 ◽  
Author(s):  
Gao Tu ◽  
Tingting Fu ◽  
Fengyuan Yang ◽  
Lixia Yao ◽  
Weiwei Xue ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Free Energy ◽  
Electrostatic Interactions ◽  
Binding Free Energy ◽  
Computational Simulation ◽  
Critical Role ◽  
Dynamics Simulation ◽  
Peptide Docking ◽  
C Terminus ◽  
Free Energy Decomposition

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.

MOLECULAR DYNAMICS AND FREE ENERGY ANALYSES OF ERK2–PYRAZOLYLPYRROLE INHIBITORS INTERACTIONS: INSIGHT INTO STRUCTURE-BASED LIGAND DESIGN

2009 ◽  
Vol 08 (05) ◽  
pp. 887-908 ◽  
Author(s):  
JIN-HUI ZHAN ◽  
XI ZHAO ◽  
XU-RI HUANG ◽  
CHIA-CHUNG SUN
Keyword(s):  
Molecular Dynamics ◽  
Free Energy ◽  
Electrostatic Interactions ◽  
Binding Free Energy ◽  
Signal Transduction Pathway ◽  
Binding Mode ◽  
Inhibitory Effect ◽  
Dynamics Simulation ◽  
Protein Motions ◽  
Extracellular Signal

The extracellular signal-regulated protein kinase 2 (ERK2) is a pivotal member involving in Ras/Raf/MEK/ERK signal transduction pathway, acting as a central point where multiple signaling pathways coalesce to drive transcription. The pyrazolylpyrrole compounds as ATP competitive inhibitors of ERK2 can bind target with a special binding mode and have higher inhibitory potency than other ERK2-inhibitors. We investigated the interaction mode of ERK2-inhibitor using molecular dynamics simulation. The molecular mechanics Poisson–Boltzmann surface area approach is used to calculate the binding free energy of ERK2 with pyrazolylpyrrole inhibitors to analyze the factors of improving the affinity. The results indicated that the electrostatic interactions play the most important role in keeping the stabilization of ERK2-inhibitor. The structural analyses showed that the protein motions can be controlled by changing the structures of inhibitors; furthermore, the full use of available space in the binding site by improving the flexibilities of inhibitors and introducing hydrophobic groups can increase the inhibitory effect.

scholarly journals A Fungal Defensin Targets the SARS−CoV−2 Spike Receptor−Binding Domain

2021 ◽  
Vol 7 (7) ◽  
pp. 553
Author(s):  
Bin Gao ◽  
Shunyi Zhu
Keyword(s):  
Receptor Binding ◽  
Viral Entry ◽  
Single Point ◽  
Binding Domain ◽  
Host Cells ◽  
Single Point Mutation ◽  
Binding Motif ◽  
Microsporum Canis ◽  
Receptor Binding Domain ◽  
Fungal Defensin

Coronavirus Disease 2019 (COVID−19) elicited by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS−CoV−2) is calling for novel targeted drugs. Since the viral entry into host cells depends on specific interactions between the receptor−binding domain (RBD) of the viral Spike protein and the membrane−bound monocarboxypeptidase angiotensin converting enzyme 2 (ACE2), the development of high affinity RBD binders to compete with human ACE2 represents a promising strategy for the design of therapeutics to prevent viral entry. Here, we report the discovery of such a binder and its improvement via a combination of computational and experimental approaches. The binder micasin, a known fungal defensin from the dermatophytic fungus Microsporum canis with antibacterial activity, can dock to the crevice formed by the receptor−binding motif (RBM) of RBD via an extensive shape complementarity interface (855.9 Å2 in area) with numerous hydrophobic and hydrogen−bonding interactions. Using microscale thermophoresis (MST) technique, we confirmed that micasin and its C−terminal γ−core derivative with multiple predicted interacting residues exhibited a low micromolar affinity to RBD. Expanding the interface area of micasin through a single point mutation to 970.5 Å2 accompanying an enhanced hydrogen bond network significantly improved its binding affinity by six−fold. Our work highlights the naturally occurring fungal defensins as an emerging resource that may be suitable for the development into antiviral agents for COVID−19.

Assessing the ligand selectivity of sphingosine kinases using molecular dynamics and MM-PBSA binding free energy calculations

2016 ◽  
Vol 12 (4) ◽  
pp. 1174-1182 ◽  
Author(s):  
Liang Fang ◽  
Xiaojian Wang ◽  
Meiyang Xi ◽  
Tianqi Liu ◽  
Dali Yin
Keyword(s):  
Molecular Dynamics ◽  
Free Energy ◽  
Model Building ◽  
Binding Free Energy ◽  
Homology Model ◽  
Free Energy Calculations ◽  
Dynamics Simulation ◽  
Ligand Selectivity ◽  
Sphingosine Kinases ◽  
Binding Free Energy Calculations

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

Compared with SARS-CoV2 wild type's spike protein, the SARS-CoV2 omicron's receptor binding motif has adopted a more SARS-CoV1 and/or bat/civet-like structure.

2021 ◽  
Author(s):  
Michael O. Glocker ◽  
Kwabena F. M. Opuni ◽  
Hans-Juergen Thiesen
Keyword(s):  
Free Energy ◽  
Receptor Binding ◽  
Free Energy Calculations ◽  
Viral Fitness ◽  
Spike Protein ◽  
Receptor Protein ◽  
Binding Motif ◽  
Energy Calculations ◽  
Selection Processes ◽  
Protein Receptor

Our study focuses on free energy calculations of SARS-Cov2 spike protein receptor binding motives (RBMs) from wild type and variants-of-concern with particular emphasis on currently emerging SARS- CoV2 omicron variants of concern (VOC). Our computational free energy analysis underlines the occurrence of positive selection processes that specify omicron host adaption and bring changes on the molecular level into context with clinically relevant observations. Our free energy calculations studies regarding the interaction of omicron's RBM with human ACE2 shows weaker binding to ACE2 than alpha's, delta's, or wild type's RBM. Thus, less virus is predicted to be generated in time per infected cell. Our mutant analyses predict with focus on omicron variants a reduced spike-protein binding to ACE2--receptor protein possibly enhancing viral fitness / transmissibility and resulting in a delayed induction of danger signals as trade-off. Finally, more virus is produced but less per cell accompanied with delayed Covid-19 immunogenicity and pathogenicity. Regarding the latter, more virus is assumed to be required to initiate inflammatory immune responses.

MOLECULAR MODELING OF THE INTERACTIONS BETWEEN HISTONE DEACETYLASE 8 AND INHIBITORS

2012 ◽  
Vol 11 (04) ◽  
pp. 907-924 ◽  
Author(s):  
DAWEI HUANG ◽  
XIAOHUI LI ◽  
ZHILONG XIU
Keyword(s):  
Molecular Dynamics ◽  
Histone Deacetylases ◽  
Hydrophobic Interactions ◽  
Binding Free Energy ◽  
Zinc Ion ◽  
Dynamics Simulation ◽  
Amino Acid Residues ◽  
Domain Docking ◽  
Dynamics Simulations ◽  
Linker Domain

Inhibitors of histone deacetylases (HDACs) have become an attractive class of anticancer agent. To understand the interaction between HDAC8 and inhibitors, including "pan-" inhibitors that inhibit many HDACs isoforms and selective inhibitors with no linker domain, docking and molecular dynamics simulation were conducted. Docking results showed the presence of π-π interactions between "linkerless" inhibitors and the aromatic amino acid residues of HDAC8 in the active site. Binding between HDAC8 and inhibitors was also stabilized by hydrogen bond and hydrophobic interaction. In molecular dynamics simulations, the zinc ion was shown to coordinate one more atom of HDAC8-"linkerless" inhibitor complexes than HDAC8-"pan-" inhibitor complexes. Persistent hydrogen bonds also existed between Tyr306 of HDAC8 and some inhibitors. When inhibitors with large cap groups bound to the active pocket of HDAC8, Phe152 and Met274 shifted from their initial positions and the entrance of the active pocket became more open, resulting in the formation of sub-pocket. Hydrophobic interactions contributed most favorably to the binding free energy between HDAC8 and inhibitors. Lys33, Asp178, Asp267, Tyr306 and Leu308 of HDAC8 were favorable for binding with all inhibitors.

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