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Targeting SARS-CoV-2 Main Protease: A Computational Drug Repurposing Study
BACKGROUND AND AIMS: Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) induced Novel Coronavirus Disease (COVID-19) has currently become pandemic worldwide. Though drugs like remdesivir, favipiravir, and dexamethasone found beneficial for COVID-19 management, they have limitations clinica...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
IMSS. Published by Elsevier Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7498210/ https://www.ncbi.nlm.nih.gov/pubmed/32962867 http://dx.doi.org/10.1016/j.arcmed.2020.09.013 |
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author | Baby, Krishnaprasad Maity, Swastika Mehta, Chetan H. Suresh, Akhil Nayak, Usha Y. Nayak, Yogendra |
author_facet | Baby, Krishnaprasad Maity, Swastika Mehta, Chetan H. Suresh, Akhil Nayak, Usha Y. Nayak, Yogendra |
author_sort | Baby, Krishnaprasad |
collection | PubMed |
description | BACKGROUND AND AIMS: Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) induced Novel Coronavirus Disease (COVID-19) has currently become pandemic worldwide. Though drugs like remdesivir, favipiravir, and dexamethasone found beneficial for COVID-19 management, they have limitations clinically, and vaccine development takes a long time. The researchers have reported key proteins which could act as druggable targets. Among them, the major protease M(pro) is first published, plays a prominent role in viral replication and an attractive drug-target for drug discovery. Hence, to target M(pro) and inhibit it, we accomplished the virtual screening of US-FDA approved drugs using well-known drug repurposing approach by computer-aided tools. METHODS: The protein M(pro), PDB-ID 6LU7 was imported to Maestro graphical user interphase of Schrödinger software. The US-FDA approved drug structures are imported from DrugBank and docked after preliminary protein and ligand preparation. The drugs are shortlisted based on the docking scores in the Standard Precision method (SP-docking) and then based on the type of molecular interactions they are studied for molecular dynamics simulations. RESULTS: The docking and molecular interactions studies, five drugs emerged as potential hits by forming hydrophilic, hydrophobic, electrostatic interactions. The drugs such as arbutin, terbutaline, barnidipine, tipiracil and aprepitant identified as potential hits. Among the drugs, tipiracil and aprepitant interacted with the M(pro) consistently, and they turned out to be most promising. CONCLUSIONS: This study shows the possible exploration for drug repurposing using computer-aided docking tools and the potential roles of tipiracil and aprepitant, which can be explored further in the treatment of COVID-19. |
format | Online Article Text |
id | pubmed-7498210 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | IMSS. Published by Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74982102020-09-18 Targeting SARS-CoV-2 Main Protease: A Computational Drug Repurposing Study Baby, Krishnaprasad Maity, Swastika Mehta, Chetan H. Suresh, Akhil Nayak, Usha Y. Nayak, Yogendra Arch Med Res Biomedical BACKGROUND AND AIMS: Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) induced Novel Coronavirus Disease (COVID-19) has currently become pandemic worldwide. Though drugs like remdesivir, favipiravir, and dexamethasone found beneficial for COVID-19 management, they have limitations clinically, and vaccine development takes a long time. The researchers have reported key proteins which could act as druggable targets. Among them, the major protease M(pro) is first published, plays a prominent role in viral replication and an attractive drug-target for drug discovery. Hence, to target M(pro) and inhibit it, we accomplished the virtual screening of US-FDA approved drugs using well-known drug repurposing approach by computer-aided tools. METHODS: The protein M(pro), PDB-ID 6LU7 was imported to Maestro graphical user interphase of Schrödinger software. The US-FDA approved drug structures are imported from DrugBank and docked after preliminary protein and ligand preparation. The drugs are shortlisted based on the docking scores in the Standard Precision method (SP-docking) and then based on the type of molecular interactions they are studied for molecular dynamics simulations. RESULTS: The docking and molecular interactions studies, five drugs emerged as potential hits by forming hydrophilic, hydrophobic, electrostatic interactions. The drugs such as arbutin, terbutaline, barnidipine, tipiracil and aprepitant identified as potential hits. Among the drugs, tipiracil and aprepitant interacted with the M(pro) consistently, and they turned out to be most promising. CONCLUSIONS: This study shows the possible exploration for drug repurposing using computer-aided docking tools and the potential roles of tipiracil and aprepitant, which can be explored further in the treatment of COVID-19. IMSS. Published by Elsevier Inc. 2021-01 2020-09-17 /pmc/articles/PMC7498210/ /pubmed/32962867 http://dx.doi.org/10.1016/j.arcmed.2020.09.013 Text en © 2020 IMSS. Published by Elsevier Inc. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Biomedical Baby, Krishnaprasad Maity, Swastika Mehta, Chetan H. Suresh, Akhil Nayak, Usha Y. Nayak, Yogendra Targeting SARS-CoV-2 Main Protease: A Computational Drug Repurposing Study |
title | Targeting SARS-CoV-2 Main Protease: A Computational Drug Repurposing Study |
title_full | Targeting SARS-CoV-2 Main Protease: A Computational Drug Repurposing Study |
title_fullStr | Targeting SARS-CoV-2 Main Protease: A Computational Drug Repurposing Study |
title_full_unstemmed | Targeting SARS-CoV-2 Main Protease: A Computational Drug Repurposing Study |
title_short | Targeting SARS-CoV-2 Main Protease: A Computational Drug Repurposing Study |
title_sort | targeting sars-cov-2 main protease: a computational drug repurposing study |
topic | Biomedical |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7498210/ https://www.ncbi.nlm.nih.gov/pubmed/32962867 http://dx.doi.org/10.1016/j.arcmed.2020.09.013 |
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