EventsThe 4th International Electronic Conference on Applied Sciences
Published
This submission belongs to the session A. Applied Biosciences and Bioengineering of the event The 4th International Electronic Conference on Applied Sciences
Published date
31 Oct, 2023
Academic Editor
author-avatarGianrico Spagnuolo
Citation
Edgar Clyde Lopez, Structure-based Screening of Potential Drugs against SARS-CoV-2 Variants, in Proceedings of The 4th International Electronic Conference on Applied Sciences, 27 October–10 November 2023, MDPI: Basel, Switzerland, doi: 10.3390/ASEC2023-15536
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Structure-based Screening of Potential Drugs against SARS-CoV-2 Variants

1. Nanotechnology Research Laboratory, Department of Chemical Engineering, University of the Philippines Diliman, Quezon City, Philippines, Philippines
2. Department of Chemical Engineering, University of Santo Tomas, España Blvd., Sampaloc, Manila, Philip-pines
Abstract

SARS-CoV-2 caused the ongoing COVID-19 pandemic, and only a few treatment options are available to mitigate its impact on human health. Hence, there is a need to discover drugs that could be used to treat COVID-19. Several studies have already reported the repurposing of existing drugs to inhibit the receptor-binding domain of SARS-CoV-2. However, the emergence of COVID-19 variants may render current drug candidates ineffective. Here, we report the structure-based drug screening of the DrugBank database against the wild-type, B.1.1.7, B.1.351, and P.1 variants of SARS-CoV-2. Our study revealed that Salmeterol, Abediterol, and Lysophosphatidylglycerol are among the top candidates against all four variants. Furthermore, we showed that Salmeterol forms a stable complex with the receptor binding domain of SARS-CoV-2 variants. Further studies are needed to evaluate the clinical relevance of the drug candidates discovered. Nevertheless, this study provides insight into computational drug design that works against multiple variants of SARS-CoV-2.

Keywords
SARS-CoV-2
COVID-19
structure-based drug design
drug repurposing
molecular dynamics
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