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Authors: Angela Kralevska 1 ; Marija Velichkovska 1 ; Viktor Cicimov 1 ; Tome Eftimov 1 ; 2 and Monika Simjanoska 1

Affiliations: 1 Ss. Cyril and Methodius University, Faculty of Computer Science and Engineering, Skopje, North Macedonia ; 2 Computer Systems Department, Jožef Stefan Institute, Ljubljana, Slovenia

Keyword(s): COVID-19, Sars-CoV-2, Treatment, Drug, Inhibitors, Molecular Docking, Virtual Screening.

Abstract: COVID-19 is an infectious disease caused by virus SARS-CoV-2 that spread globally due to its high contagious nature and became an ongoing pandemic. The lack of vaccines and drugs to treat infected patients is a great problem in the fight against this pandemic. Molecular docking is one of the best approaches to search for potential drugs in real time with possibilities to apply at COVID-19. In this experiment, molecular docking studies of fourteen ligands were carried out with three important proteins of SARS-CoV-2, i.e. main protease, ACE2, and spike glycoprotein. From the obtained results, we observed that many of the tested molecules showed better dock score in comparison to remdesivir and dexamethasone, drugs that are claimed to be effective against COVID-19. Combining the dock score and other properties, we believe that auranetin can be further explored for potential use against COVID-19.

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Paper citation in several formats:
Kralevska, A. ; Velichkovska, M. ; Cicimov, V. ; Eftimov, T. and Simjanoska, M. (2021). Finding Potential Inhibitors of COVID-19. In Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - BIOINFORMATICS; ISBN 978-989-758-490-9; ISSN 2184-4305, SciTePress, pages 110-117. DOI: 10.5220/0010246900002865

@conference{bioinformatics21,
author={Angela Kralevska and Marija Velichkovska and Viktor Cicimov and Tome Eftimov and Monika Simjanoska},
title={Finding Potential Inhibitors of COVID-19},
booktitle={Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - BIOINFORMATICS},
year={2021},
pages={110-117},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010246900002865},
isbn={978-989-758-490-9},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - BIOINFORMATICS
TI - Finding Potential Inhibitors of COVID-19
SN - 978-989-758-490-9
IS - 2184-4305
AU - Kralevska, A.
AU - Velichkovska, M.
AU - Cicimov, V.
AU - Eftimov, T.
AU - Simjanoska, M.
PY - 2021
SP - 110
EP - 117
DO - 10.5220/0010246900002865
PB - SciTePress