Natural Compound against COVID-19 in Silico Screening by Attacking Mpro and ACE2 Using Molecular Docking

Authors

  • Dhiraj Kumar Student, Department of Pharm Sci. & Tech, B.I.T Mesra, Ranchi, INDIA
  • Sanjana Bhagat Student, Department of Pharm Sci. & Tech, B.I.T Mesra, Ranchi, INDIA

Keywords:

Covid, SARS-CoV-2, Coronavirus, Auto-docking, Phytochemicals, Mpro, ACE2

Abstract

OBJECTIVE: At present, Coronavirus is spreading overall fastly and its control is troublesome on the grounds that there is no powerful antibody or medications accessible in blemish kets. This infection can taint the two creatures and people and cause diseases of the respiratory plot. WHO has pronounced Covid as pandemic and the entire world is battling against Covid. Worldwide, in excess of 199,478 individuals have been determined to have Coronavirus. As of Walk 18, 2020, in excess of 167 nations have been influenced and in excess of 8000 passings have been report-ed. The fundamental nation being influenced is China, followed by Italy, Iran, Spain, France and the USA.

MATERIALS AND TECHNIQUES: Since there are no powerful medications accessible against Covid, we directed virtual screening of phytochemicals to discover novel mixes against this infection. Thus, we made a phytochemical library of 19 phytochemicals from 19 plants, which have been accounted for as antiviral, antibacterial and antifungal action. The phytochemical library was exposed to virtual screening against sub-atomic targets, Principle protease (Mpro) and Angiotensin-Changing over Compound 2 (ACE2).

ENDS: In light of the coupling energy score, we recommend that these mixes can be tried against Covid and used to create successful antiviral medications.

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References

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Published

2020-11-30

How to Cite

Dhiraj Kumar, & Sanjana Bhagat. (2020). Natural Compound against COVID-19 in Silico Screening by Attacking Mpro and ACE2 Using Molecular Docking. International Journal for Research in Applied Sciences and Biotechnology, 7(6), 168–180. Retrieved from https://ijrasb.com/index.php/ijrasb/article/view/317

Issue

Vol. 7 No. 6 (2020): November Issue

Section

Articles

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.