Literature DB >> 35227055

Molecular Docking Studies to Identify Promising Natural Inhibitors Targeting SARS-CoV-2 Nsp10-Nsp16 Protein Complex

Anuradha Bhardwaj1, Swati Sharma2, Sandeep Kumar Singh3.   

Abstract

Objectives: Unavailability of potential drugs/vaccines in the outbreak of the pandemic severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) have devastated the human population globally. Several druggable targets have been analyzed against different viral proteins such as the spike protein. The study aims to explore the potential of natural compounds as an effective drug against a novel nsp10-nsp16 complex of SARS-CoV-2 using in silico approaches. Materials and
Methods: In silico screening (Docking analysis) was performed for 10 shortlisted natural compounds viz. allicin, ajoene, carvacrol, coumarin, curcumin, menthol, eugenol, theaflavin, ursolic acid, and catechin against a novel target of SARS-CoV-2, that has been anticipated to provide valuable lead molecules and potentially druggable compounds for the treatment of SARS-CoV-2.
Results: Theaflavin and catechin, the natural components of black tea and green tea, out of 10 shortlisted compounds have shown excellent performance in our docking studies with the minimum binding energy of -11.8 kcal/mol and -9.2 kcal/mol respectively, against a novel nsp10-nsp16 complex of SARS-CoV-2 that indicates their potential for inhibitory molecular interactions against the virus to assist rapid drug designing from natural products.
Conclusion: Either consumption of black tea and green tea or repurposing them as drug candidates may help individuals to fight against SARS-CoV-2, subject to their in vivo and in vitro further experimental validations.

Entities:  

Keywords:  SARS-CoV-2; nsp10-nsp16 protein complex; natural compounds; molecular docking; corona; antiviral natural compounds; drug design

Year:  2022        PMID: 35227055      PMCID: PMC8892556          DOI: 10.4274/tjps.galenos.2021.56957

Source DB:  PubMed          Journal:  Turk J Pharm Sci        ISSN: 1304-530X


  28 in total

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Review 2.  Effects of tea consumption on nutrition and health.

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3.  Beneficial effects of green tea: a literature review.

Authors:  Sabu M Chacko; Priya T Thambi; Ramadasan Kuttan; Ikuo Nishigaki
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5.  Identification of Suitable Natural Inhibitor against Influenza A (H1N1) Neuraminidase Protein by Molecular Docking.

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Review 7.  Anti-infective Properties of the Golden Spice Curcumin.

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8.  A pneumonia outbreak associated with a new coronavirus of probable bat origin.

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Journal:  Nature       Date:  2020-02-03       Impact factor: 69.504

Review 9.  MERS, SARS and other coronaviruses as causes of pneumonia.

Authors:  Yudong Yin; Richard G Wunderink
Journal:  Respirology       Date:  2017-10-20       Impact factor: 6.424

10.  SARS-CoV-2 Nsp16 activation mechanism and a cryptic pocket with pan-coronavirus antiviral potential.

Authors:  Neha Vithani; Michael D Ward; Maxwell I Zimmerman; Borna Novak; Jonathan H Borowsky; Sukrit Singh; Gregory R Bowman
Journal:  Biophys J       Date:  2021-03-29       Impact factor: 4.033

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  2 in total

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Authors:  Tanuja Nesari; Sujata Kadam; Mahesh Vyas; Vitthal G Huddar; Pradeep Kumar Prajapati; Manjusha Rajagopala; Anand More; Shri Krishna Rajagopala; Santosh Kumar Bhatted; Rama Kant Yadav; Vyasdeva Mahanta; Sisir Kumar Mandal; Raja Ram Mahto; Divya Kajaria; Rahul Sherkhane; Narayan Bavalatti; Pankaj Kundal; Prasanth Dharmarajan; Meera Bhojani; Bhargav Bhide; Shiva Kumar Harti; Arun Kumar Mahapatra; Umesh Tagade; Galib Ruknuddin; Anandaraman Puthanmadam Venkatramana Sharma; Shalini Rai; Shivani Ghildiyal; Pramod R Yadav; Jonah Sandrepogu; Meena Deogade; Pankaj Pathak; Alka Kapoor; Anil Kumar; Heena Saini; Richa Tripathi
Journal:  Front Public Health       Date:  2022-08-16

2.  Computational investigation of potent inhibitors against SARS-CoV-2 2'-O-methyltransferase (nsp16): Structure-based pharmacophore modeling, molecular docking, molecular dynamics simulations and binding free energy calculations.

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Journal:  J Mol Graph Model       Date:  2022-08-18       Impact factor: 2.942

  2 in total

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