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Gepants against SARS COV-2 Main Protease

I.V. Ferrari1 , M. Di Mario2 , R. Narducci3 , P. Patrizio4

Section:Research Paper, Product Type: Journal-Paper
Vol.9 , Issue.6 , pp.90-93, Dec-2021


Online published on Dec 31, 2021


Copyright © I.V. Ferrari, M. Di Mario, R. Narducci, P. Patrizio . 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, M. Di Mario, R. Narducci, P. Patrizio, “Gepants against SARS COV-2 Main Protease,” International Journal of Scientific Research in Computer Science and Engineering, Vol.9, Issue.6, pp.90-93, 2021.

MLA Style Citation: I.V. Ferrari, M. Di Mario, R. Narducci, P. Patrizio "Gepants against SARS COV-2 Main Protease." International Journal of Scientific Research in Computer Science and Engineering 9.6 (2021): 90-93.

APA Style Citation: I.V. Ferrari, M. Di Mario, R. Narducci, P. Patrizio, (2021). Gepants against SARS COV-2 Main Protease. International Journal of Scientific Research in Computer Science and Engineering, 9(6), 90-93.

BibTex Style Citation:
@article{Ferrari_2021,
author = {I.V. Ferrari, M. Di Mario, R. Narducci, P. Patrizio},
title = {Gepants against SARS COV-2 Main Protease},
journal = {International Journal of Scientific Research in Computer Science and Engineering},
issue_date = {12 2021},
volume = {9},
Issue = {6},
month = {12},
year = {2021},
issn = {2347-2693},
pages = {90-93},
url = {https://www.isroset.org/journal/IJSRCSE/full_paper_view.php?paper_id=2612},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.isroset.org/journal/IJSRCSE/full_paper_view.php?paper_id=2612
TI - Gepants against SARS COV-2 Main Protease
T2 - International Journal of Scientific Research in Computer Science and Engineering
AU - I.V. Ferrari, M. Di Mario, R. Narducci, P. Patrizio
PY - 2021
DA - 2021/12/31
PB - IJCSE, Indore, INDIA
SP - 90-93
IS - 6
VL - 9
SN - 2347-2693
ER -

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Abstract :
in the present in Silico work, we focused on “Gepants", used for the treatment of Migraine, as a potential target of SARS-COV-2 Main Protease, using Molecular Docking Analysis. From Autodock Vina and Autodock 4 results, we found out Zavegepant (as knownVazegepant), which has significant binding energy and excellent affinity against SARS-COV-2 Main pro. Indeed, it has shown a high Binding Energy score, of about -11.43 kcal mol -1, and an excellent estimation of Inhibitory constant Ki 4.19 nM.

Key-Words / Index Term :
AutoDock Vina, PyRx, calcitonin gene-related peptide receptor (CGRPR)

References :
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