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Identification of novel mutations in the methyltransferase complex (Nsp10-Nsp16) of SARS-CoV-2.

ABSTRACT: A recent outburst of the pandemic caused by a member of the coronaviridae family identified as SARS-CoV-2. The highly contagious nature of the virus allows it to spread rapidly worldwide and caused severe healthcare and economic distress. So far, no proper line of treatment or vaccines has been available against SARS-CoV-2. Since, the infected people rapidly increased, causing the saturation of healthcare systems with coronavirus disease (COVID-19) patients. As the virus spread to new locations it also acquired various mutations. Here, in this study, we focused on identifying mutations in one of the crucial complex of SARS-CoV-2, the Nsp10-Nsp16 2'-O-methyltransferase complex. This complex plays indispensable role in the post-transcriptional modifications of viral RNA by its capping. We analysed 208 sequences of Nsp10-Nsp16 reported from India and compared with first reported sequence from Wuhan, China. Our analysis revealed a single mutation in Nsp10 and five mutations in Nsp16 protein. We also show that these mutations are leading to alteration in the secondary structure of Nsp10-Nsp16. Further, the protein modelling studies revealed that the mutation of both Nsp10-Nsp16 impacts the protein dynamicity and stability. Altogether, this study provides novel insights into the variations observed in the proteins of SARS-CoV-2 that might have functional consequences.

SUBMITTER: Azad GK

PROVIDER: S-EPMC7547569 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Recently, a highly contagious novel coronavirus disease 2019 (COVID-19), caused by SARS-CoV-2, has emerged, posing a global threat to public health. Identifying a potential target and developing vaccines or antiviral drugs is an urgent demand in the absence of approved therapeutic agents. The 5'-capping mechanism of eukaryotic mRNA and some viruses such as coronaviruses (CoVs) are essential for maintaining the RNA stability and protein translation in the virus. SARS-CoV-2 encodes S-adenosyl-L-methionine (SAM) dependent methyltransferase (MTase) enzyme characterized by nsp16 (2'-O-MTase) for generating the capped structure. The present study highlights the binding mechanism of nsp16 and nsp10 to identify the role of nsp10 in MTase activity. Furthermore, we investigated the conformational dynamics and energetics behind the binding of SAM to nsp16 and nsp16/nsp10 heterodimer by employing molecular dynamics simulations in conjunction with the Molecular Mechanics Poisson-Boltzmann Surface Area (MM/PBSA) method. We observed from our simulations that the presence of nsp10 increases the favorable van der Waals and electrostatic interactions between SAM and nsp16. Thus, nsp10 acts as a stimulator for the strong binding of SAM to nsp16. The hydrophobic interactions were predominately identified for the nsp16-nsp10 interactions. Also, the stable hydrogen bonds between Ala83 (nsp16) and Tyr96 (nsp10), and between Gln87 (nsp16) and Leu45 (nsp10) play a vital role in the dimerization of nsp16 and nsp10. Besides, Computational Alanine Scanning (CAS) mutagenesis was performed, which revealed hotspot mutants, namely I40A, V104A, and R86A for the dimer association. Hence, the dimer interface of nsp16/nsp10 could also be a potential target in retarding the 2'-O-MTase activity in SARS-CoV-2. Overall, our study provides a comprehensive understanding of the dynamic and thermodynamic process of binding nsp16 and nsp10 that will contribute to the novel design of peptide inhibitors based on nsp16.

Project description:Coronavirus Disease (COVID-19) is recently declared pandemic (WHO) caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). The virus was named Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), (Coronavirus Disease 2019). Currently, there is no specific drug for the therapy of COVID-19. So, there is a need to develop or find out the new drug from the existing to cure the COVID-19. Identification of a potent inhibitor of Methyltransferase, Endoribonuclease, Phosphatase and Main Protease enzymes of SARS CoV-2 by coumarin derivatives using insilico approach. The in silico studies were performed on maestro 12.0 software (Schrodinger LLC 2019, USA). Two thousand seven hundred fifty-five biologically active coumarin derivative was docked with above receptor proteins of SARS CoV-2. The molecular dynamic simulation of the top one ligand of respected proteins was performed. Top five ligands of each protein were taken for study. Coumarin derivatives actively interact with taken receptors and showed good docking results for Methyltransferase, Endoribonuclease, Phosphatase and Main Protease and top five compounds of each have docking score from -9.00 to -7.97, -8.42 to -6.80, -8.63 to -7.48 and -7.30 to -6.01 kcal/mol, respectively. The docked compounds were showed RMSD and binding stability of simulated ligands are show the potency of ligands against the SARS CoV-2. Our study provides information on drugs that may be a potent inhibitor of COVID-19 infection. Drug repurposing of the available drugs would be great help in the treatment of COVID-19 infection. The combination therapy of the finding may improve inhibitory activity. Communicated by Ramaswamy H. Sarma Highlights Coronavirus Disease (COVID-19) is recently declared pandemic (WHO) caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). In silico virtual screening, docking, ADME, MM-GBSA and MD simulation analysis of coumarin derivatives against Methyltransferase (MTase), Endoribonuclease(endoU), ADP ribose Phosphatase and Main Protease enzyme of SARS CoV-2. All the analysis was performed on Maestro 12.0 Schrodinger software against respective receptors. Top five compounds of coumarin derivatives s docked at the active site of Methyltransferase (MTase), Endoribonuclease(endoU), ADP ribose Phosphatase and protease and top five compounds of each have docking score from -9.00 to -7.97, -8.42 to -6.80, -8.63 to -7.48 and -7.30 to -6.01 kcal/mol, respectively, of SARS CoV-2. These compounds were used to analysis of binding free energy by using the Prime MM-GBSA module. All the compounds showed drug-likeness properties. MD simulation of Proteins and ligands showed binding stability and good RMSD, radius of gyration of protein, coulomb-SR and LJ-SR energy.

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Identification of novel mutations in the methyltransferase complex (Nsp10-Nsp16) of SARS-CoV-2.

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