scholarly journals In silico investigation to identify potential small molecule inhibitors of the RNA-dependent RNA polymerase (RdRp) nidovirus RdRp-associated nucleotidyltransferase domain

2021 ◽  
pp. 138889
Author(s):  
Eleni Pitsillou ◽  
Julia Liang ◽  
Helen Yu Meng Huang ◽  
Andrew Hung ◽  
Tom C Karagiannis
ACS Omega ◽  
2020 ◽  
Vol 5 (29) ◽  
pp. 18356-18366 ◽  
Author(s):  
Mohammed Ahmad ◽  
Abhisek Dwivedy ◽  
Richard Mariadasse ◽  
Satish Tiwari ◽  
Deepsikha Kar ◽  
...  

2020 ◽  
Author(s):  
Mohammed Ahmed ◽  
Abhisek Dwivedy ◽  
Richard Mariadasse ◽  
Satish Tiwari ◽  
Jeyaraman Jeyakanthan ◽  
...  

The current COVID-19 outbreak calls for a multi-disciplinary approach towards the design and development of novel anti-COVID therapeutics including vaccines and small molecule inhibitors targeting the viral proteins of causative agent, SARS-CoV-2. Using a combination of bioinformatics and computational tools, we have modelled the 3-D structure of the RNA-dependent RNA-polymerase (RdRp) of SARS-CoV-2 and predicted its probable GTP-binding site. This site was computationally targeted using small molecules inhibitors reported in a previous study on the RdRp of the Hepatitis C virus. Further optimizations have suggested a lead molecule that may prove fruitful in development of inhibitors against RdRp of SARS-CoV-2.


Author(s):  
Trinath Chowdhury ◽  
Gourisankar Roymahapatra ◽  
Santi M. Mandal

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.


Author(s):  
Pawan Kumar Doharey ◽  
Vishal Singh ◽  
Mallikarjuna Rao Gedda ◽  
Amaresh Kumar Sahoo ◽  
Pritish Kumar Varadwaj ◽  
...  

2021 ◽  
Author(s):  
Pratap Kumar Parida ◽  
Dipak Paul ◽  
Debamitra Chakravorty

<p><a>The over expression of Tumor necrosis factor-α (TNFα) has been implicated in a variety of disease and is classified as a therapeutic target for inflammatory diseases (Crohn disease, psoriasis, psoriatic arthritis, rheumatoid arthritis).Commercially available therapeutics are biologics which are associated with several risks and limitations. Small molecule inhibitors and natural compounds (saponins) were identified by researchers as lead molecules against TNFα, however, </a>they were often associated with high IC50 values which can lead to their failure in clinical trials. This warrants research related to identification of better small molecule inhibitors by screening of large compound libraries. Recent developments have demonstrated power of natural compounds as safe therapeutics, hence, in this work, we have identified TNFα phytochemical inhibitors using high throughput <i>in silico </i>screening approaches of 6000 phytochemicals followed by 200 ns molecular dynamics simulations and relative binding free energy calculations. The work yielded potent hits that bind to TNFα at its dimer interface. The mechanism targeted was inhibition of oligomerization of TNFα upon phytochemical binding to restrict its interaction with TNF-R1 receptor. MD simulation analysis resulted in identification of two phytochemicals that showed stable protein-ligand conformations over time. The two compounds were triterpenoids: Momordicilin and Nimbolin A with relative binding energy- calculated by MM/PBSA to be -190.5 kJ/Mol and -188.03 kJ/Mol respectively. Therefore, through this work it is being suggested that these phytochemicals can be used for further <i>in vitro</i> analysis to confirm their inhibitory action against TNFα or can be used as scaffolds to arrive at better drug candidates.</p>


2003 ◽  
Vol 2 (2) ◽  
pp. 256-264 ◽  
Author(s):  
Liping Wu ◽  
Jing Pan ◽  
Vala Thoroddsen ◽  
Deborah R. Wysong ◽  
Ronald K. Blackman ◽  
...  

ABSTRACT A genetic approach utilizing the yeast Saccharomyces cerevisiae was used to identify the target of antifungal compounds. This analysis led to the identification of small molecule inhibitors of RNA polymerase (Pol) III from Saccharomyces cerevisiae. Three lines of evidence show that UK-118005 inhibits cell growth by targeting RNA Pol III in yeast. First, a dominant mutation in the g domain of Rpo31p, the largest subunit of RNA Pol III, confers resistance to the compound. Second, UK-118005 rapidly inhibits tRNA synthesis in wild-type cells but not in UK-118005 resistant mutants. Third, in biochemical assays, UK-118005 inhibits tRNA gene transcription in vitro by the wild-type but not the mutant Pol III enzyme. By testing analogs of UK-118005 in a template-specific RNA Pol III transcription assay, an inhibitor with significantly higher potency, ML-60218, was identified. Further examination showed that both compounds are broad-spectrum inhibitors, displaying activity against RNA Pol III transcription systems derived from Candida albicans and human cells. The identification of these inhibitors demonstrates that RNA Pol III can be targeted by small synthetic molecules.


Sign in / Sign up

Export Citation Format

Share Document