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Computation Studies on potential anti-COVID-19 natural compound against The Omicron Variant of SARS-COV-2

I.V. Ferrari1 , G. Giuntoli2 , A. Cavallo3 , I. Foffa4 , G. Soldani5 , P. Losi6

Section:Research Paper, Product Type: Journal-Paper
Vol.9 , Issue.2 , pp.10-15, Aug-2022


Online published on Aug 31, 2022


Copyright © I.V. Ferrari, G. Giuntoli, A. Cavallo, I. Foffa, G. Soldani, P. Losi . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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IEEE Style Citation: I.V. Ferrari, G. Giuntoli, A. Cavallo, I. Foffa, G. Soldani, P. Losi, “Computation Studies on potential anti-COVID-19 natural compound against The Omicron Variant of SARS-COV-2,” International Journal of Medical Science Research and Practice, Vol.9, Issue.2, pp.10-15, 2022.

MLA Style Citation: I.V. Ferrari, G. Giuntoli, A. Cavallo, I. Foffa, G. Soldani, P. Losi "Computation Studies on potential anti-COVID-19 natural compound against The Omicron Variant of SARS-COV-2." International Journal of Medical Science Research and Practice 9.2 (2022): 10-15.

APA Style Citation: I.V. Ferrari, G. Giuntoli, A. Cavallo, I. Foffa, G. Soldani, P. Losi, (2022). Computation Studies on potential anti-COVID-19 natural compound against The Omicron Variant of SARS-COV-2. International Journal of Medical Science Research and Practice, 9(2), 10-15.

BibTex Style Citation:
@article{Ferrari_2022,
author = {I.V. Ferrari, G. Giuntoli, A. Cavallo, I. Foffa, G. Soldani, P. Losi},
title = {Computation Studies on potential anti-COVID-19 natural compound against The Omicron Variant of SARS-COV-2},
journal = {International Journal of Medical Science Research and Practice},
issue_date = {8 2022},
volume = {9},
Issue = {2},
month = {8},
year = {2022},
issn = {2347-2693},
pages = {10-15},
url = {https://www.isroset.org/journal/IJMSRP/full_paper_view.php?paper_id=2919},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.isroset.org/journal/IJMSRP/full_paper_view.php?paper_id=2919
TI - Computation Studies on potential anti-COVID-19 natural compound against The Omicron Variant of SARS-COV-2
T2 - International Journal of Medical Science Research and Practice
AU - I.V. Ferrari, G. Giuntoli, A. Cavallo, I. Foffa, G. Soldani, P. Losi
PY - 2022
DA - 2022/08/31
PB - IJCSE, Indore, INDIA
SP - 10-15
IS - 2
VL - 9
SN - 2347-2693
ER -

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Abstract :
For the first time, this short communication aims to carry out the possible antiviral role of a natural compound called Adapalene. This substance has been shown, by the Molecular Simulation method, to be particularly active both in the original SARS-COV-2 protein and in the mutated form Spike protein of SARS-CoV- 2 Omicron (B.1.1.529). The best results obtained have reported excellent Binding Energies Scores values of about -10.35 kcal/mol with an estimated Ki of about 26 nMolar, when Adapalene interacts in the binding active zone of the receptor binding domain (RBD) of SARS-COV-2, with the Human ACE2. Furthermore, this compound can interacts also with other antiviral Coronavirus proteins. Indeed it can bind with other SARS-COV-2 proteins such as SARS-COV-2- 3Cl protease, with an Estimated Binding Energy of approximately, ca -10.24 kcal/mol and an estimated Ki of ca 31.15 nMolar, while with Nucleocapsid Phosphoprotein SARS-COV-2, with a Binding Energy of approximately of ca -10.47kcal / mol and an estimate Ki of ca 21.06 nMolar.

Key-Words / Index Term :
Covid-19, Adapalene , Docking analysis, SARS-COV-2

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