In Silico Identification of a Potent Arsenic Based Approved Drug Darinaparsin against SARS-CoV-2: Inhibitor of RNA dependent RNA polymerase (RdRp) and Necessary Proteases

2020 ◽  
Author(s):  
Trinath Chowdhury ◽  
Gourisankar Roymahapatra ◽  
Santi M Mandal
Keyword(s):  
Rna Polymerase ◽  
Active Site ◽  
In Silico ◽  
Significant Interaction ◽  
Rna Dependent Rna Polymerase ◽  
Docking Analysis ◽  
Replicase Protein ◽  
Arsenical Compounds ◽  
Viral Replicase ◽  
In Silico Identification

The work demonstrate screening of several arsenical compounds against RdRp of coronavirus. The study implies out of all arsenical compounds, darinaparsin shows its most effective results based on <i>in silico</i> docking analysis. This study also confirmed the significant interaction between the active site of viral replicase protein, endoribonuclease protein and different proteases with darinaparsin.

In Silico Identification of a Potent Arsenic Based Approved Drug Darinaparsin against SARS-CoV-2: Inhibitor of RNA dependent RNA polymerase (RdRp) and Necessary Proteases

2020 ◽  
Author(s):  
Trinath Chowdhury ◽  
Gourisankar Roymahapatra ◽  
Santi M Mandal
Keyword(s):  
Rna Polymerase ◽  
Active Site ◽  
In Silico ◽  
Significant Interaction ◽  
Rna Dependent Rna Polymerase ◽  
Docking Analysis ◽  
Replicase Protein ◽  
Arsenical Compounds ◽  
Viral Replicase ◽  
In Silico Identification

The work demonstrate screening of several arsenical compounds against RdRp of coronavirus. The study implies out of all arsenical compounds, darinaparsin shows its most effective results based on <i>in silico</i> docking analysis. This study also confirmed the significant interaction between the active site of viral replicase protein, endoribonuclease protein and different proteases with darinaparsin.

scholarly journals Targeting SARS-CoV-2 RNA-dependent RNA polymerase: An in silico drug repurposing for COVID-19

F1000Research ◽  
2020 ◽  
Vol 9 ◽  
pp. 1166
Author(s):  
Krishnaprasad Baby ◽  
Swastika Maity ◽  
Chetan H. Mehta ◽  
Akhil Suresh ◽  
Usha Y. Nayak ◽  
...  
Keyword(s):  
Rna Polymerase ◽  
Active Site ◽  
In Silico ◽  
Drug Repurposing ◽  
Drug Binding ◽  
Rna Dependent Rna Polymerase ◽  
Target Proteins ◽  
Dynamics Simulations ◽  
Preclinical And Clinical Studies ◽  
And Control

Background: The coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), took more lives than combined epidemics of SARS, MERS, H1N1, and Ebola. Currently, the prevention and control of spread are the goals in COVID-19 management as there are no specific drugs to cure or vaccines available for prevention. Hence, the drug repurposing was explored by many research groups, and many target proteins have been examined. The major protease (Mpro), and RNA-dependent RNA polymerase (RdRp) are two target proteins in SARS-CoV-2 that have been validated and extensively studied for drug development in COVID-19. The RdRp shares a high degree of homology between those of two previously known coronaviruses, SARS-CoV and MERS-CoV. Methods: In this study, the FDA approved library of drugs were docked against the active site of RdRp using Schrodinger's computer-aided drug discovery tools for in silico drug-repurposing. Results: We have shortlisted 14 drugs from the Standard Precision docking and interaction-wise study of drug-binding with the active site on the enzyme. These drugs are antibiotics, NSAIDs, hypolipidemic, coagulant, thrombolytic, and anti-allergics. In molecular dynamics simulations, pitavastatin, ridogrel and rosoxacin displayed superior binding with the active site through ARG555 and divalent magnesium. Conclusion: Pitavastatin, ridogrel and rosoxacin can be further optimized in preclinical and clinical studies to determine their possible role in COVID-19 treatment.

In Silico Identification of a Potent Arsenic Based Approved Drug Darinaparsin against SARS-CoV-2: Inhibitor of RNA Dependent RNA polymerase (RdRp) and Essential Proteases

2020 ◽  
Vol 20 ◽  
Author(s):  
Trinath Chowdhury ◽  
Gourisankar Roymahapatra ◽  
Santi M. Mandal
Keyword(s):  
Rna Polymerase ◽  
Viral Entry ◽  
In Silico ◽  
Rna Dependent Rna Polymerase ◽  
Replication Complex ◽  
In Silico Study ◽  
Life Threatening ◽  
In Vivo Analysis ◽  
3Cl Protease

Background: COVID-19 is a life threatening novel corona viral infection to our civilization and spreading rapidly. Terrific efforts are generous by the researchers to search for a drug to control SARS-CoV-2. Methods: Here, a series of arsenical derivatives were optimized and analyzed with in silico study to search the inhibitor of RNA dependent RNA polymerase (RdRp), the major replication factor of SARS-CoV-2. All the optimized derivatives were blindly docked with RdRp of SARS-CoV-2 using iGEMDOCK v2.1. Results: Based on the lower idock score in the catalytic pocket of RdRp, darinaparsin (-82.52 kcal/mol) revealed most effective among them. Darinaparsin strongly binds with both Nsp9 replicase protein (-8.77 kcal/mol) and Nsp15 endoribonuclease (-8.3 kcal/mol) of SARS-CoV-2 as confirmed from the AutoDock analysis. During infection, the ssRNA of SARS-CoV2 is translated into large polyproteins forming viral replication complex by specific proteases like 3CL protease and papain protease. This is also another target to control the virus infection where darinaparsin also perform the inhibitory role to proteases of 3CL protease (-7.69 kcal/mol) and papain protease (-8.43 kcal/mol). Conclusion: In host cell, the furin protease serves as a gateway to the viral entry and darinaparsin docked with furin protease which revealed a strong binding affinity. Thus, screening of potential arsenic drugs would help in providing the fast invitro to in-vivo analysis towards development of therapeutics against SARS-CoV-2.

scholarly journals In silico study indicates antimalarials as direct inhibitors of SARS-CoV-2-RNA dependent RNA polymerase

2021 ◽  
pp. 1-18
Author(s):  
Pawan Kumar Doharey ◽  
Vishal Singh ◽  
Mallikarjuna Rao Gedda ◽  
Amaresh Kumar Sahoo ◽  
Pritish Kumar Varadwaj ◽  
...  
Keyword(s):  
Rna Polymerase ◽  
In Silico ◽  
Rna Dependent Rna Polymerase ◽  
In Silico Study ◽  
Direct Inhibitors

scholarly journals Crystal structures of murine norovirus-1 RNA-dependent RNA polymerase

2011 ◽  
Vol 92 (7) ◽  
pp. 1607-1616 ◽  
Author(s):  
Ji-Hye Lee ◽  
Intekhab Alam ◽  
Kang Rok Han ◽  
Sunyoung Cho ◽  
Sungho Shin ◽  
...  
Keyword(s):  
Rna Polymerase ◽  
Crystal Structures ◽  
Active Site ◽  
Metal Ion ◽  
Health Concern ◽  
Murine Norovirus ◽  
Active Site Residues ◽  
Rna Dependent Rna Polymerase ◽  
Close Proximity ◽  
Functional Features

Norovirus is one of the leading agents of gastroenteritis and is a major public health concern. In this study, the crystal structures of recombinant RNA-dependent RNA polymerase (RdRp) from murine norovirus-1 (MNV-1) and its complex with 5-fluorouracil (5FU) were determined at 2.5 Å resolution. Crystals with C2 symmetry revealed a dimer with half a dimer in the asymmetrical unit, and the protein exists predominantly as a monomer in solution, in equilibrium with a smaller population of dimers, trimers and hexamers. MNV-1 RdRp exhibited polymerization activity with a right-hand fold typical of polynucleotide polymerases. The metal ion modelled in close proximity to the active site was found to be coordinated tetrahedrally to the carboxyl groups of aspartate clusters. The orientation of 5FU observed in three molecules in the asymmetrical unit was found to be slightly different, but it was stabilized by a network of favourable interactions with the conserved active-site residues Arg185, Asp245, Asp346, Asp347 and Arg395. The information gained on the structural and functional features of MNV-1 RdRp will be helpful in understanding replication of norovirus and in designing novel therapeutic agents against this important pathogen.

scholarly journals Biochemical and in silico identification of the active site and the catalytic mechanism of the circadian deadenylase HESPERIN

FEBS Open Bio ◽  
2020 ◽  
Author(s):  
Rafailia A.A. Beta ◽  
Athanasios Kyritsis ◽  
Veroniki Douka ◽  
Eirini Papanastasi ◽  
Marianna Rizouli ◽  
...  
Keyword(s):  
Active Site ◽  
In Silico ◽  
Catalytic Mechanism ◽  
In Silico Identification
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