Abstract

Introduction. The emergence of SARS-CoV-2 has taken humanity off guard. Following an outbreak of SARS-CoV in 2002, and MERS-CoV about 10 years later, SARS-CoV-2 is the third coronavirus in less than 20 years to cross the species barrier and start spreading by human-to-human transmission. It is the most infectious of the three, currently causing the COVID-19 pandemic. No treatment has been approved for COVID-19. We previously proposed targets that can serve as binding sites for antiviral drugs for multiple coronaviruses, and here we set out to find current drugs that can be repurposed as COVID-19 therapeutics.Aim. To identify drugs against COVID-19, we performed an in silico virtual screen with the US Food and Drug Administration (FDA)-approved drugs targeting the RNA-dependent RNA polymerase (RdRP), a critical enzyme for coronavirus replication.Methodology. Initially, no RdRP structure of SARS-CoV-2 was available. We performed basic sequence and structural analysis to determine if RdRP from SARS-CoV was a suitable replacement. We performed molecular dynamics simulations to generate multiple starting conformations that were used for the in silico virtual screen. During this work, a structure of RdRP from SARS-CoV-2 became available and was also included in the in silico virtual screen.Results. The virtual screen identified several drugs predicted to bind in the conserved RNA tunnel of RdRP, where many of the proposed targets were located. Among these candidates, quinupristin is particularly interesting because it is expected to bind across the RNA tunnel, blocking access from both sides and suggesting that it has the potential to arrest viral replication by preventing viral RNA synthesis. Quinupristin is an antibiotic that has been in clinical use for two decades and is known to cause relatively minor side effects.Conclusion. Quinupristin represents a potential anti-SARS-CoV-2 therapeutic. At present, we have no evidence that this drug is effective against SARS-CoV-2 but expect that the biomedical community will expeditiously follow up on our in silico findings.

Highlights

  • COVID19 is a new pandemic triggered by extreme acute respiratory coronavirus syndrome 2 (SARS-CoV-2) and spreads rapidly from person to person (Ceylan, 2020)

  • The outbreak originated from Wuhan, China, in late 2019 and has triggered a global economic crisis whose impact will be felt for years to come (Ayinde et al, 2020; World Health Organization (WHO), 2020)

  • This study aims to predict the prevalence of COVID-19 in Nigeria using a linear regression model

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Summary

Introduction

COVID19 is a new pandemic triggered by extreme acute respiratory coronavirus syndrome 2 (SARS-CoV-2) and spreads rapidly from person to person (Ceylan, 2020). This pandemic is the most notable world crisis since the Second World War. According to literature, the outbreak originated from Wuhan, China, in late 2019 and has triggered a global economic crisis whose impact will be felt for years to come (Ayinde et al, 2020; WHO, 2020). Individuals could often turn out to be contaminated through being in contact with an affected exterior (World Health Organization, 2020; Centers for Disease Control and Prevention, 2020)

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