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Computational Drug Design Strategies for Fighting the COVID-19 Pandemic
Mohammed Hakmi1,2, El Mehdi Bouricha3,4, Abdellatif Soussi5
1Medical Biotechnology Laboratory (MedBiotech), Faculty of Medicine and Pharmacy, Bioinova Research Center, Mohammed Vth University, Rabat, Morocco. gml.hakmi@gmail.com.
Abstract:
The advent of COVID-19 has brought the use of computer tools to the fore in health research. In recent years, computational methods have proven to be highly effective in a variety of areas, including genomic surveillance, host range prediction, drug target identification, and vaccine development. They were also instrumental in identifying new antiviral compounds and repurposing existing therapeutics to treat COVID-19. Using computational approaches, researchers have made significant advances in understanding the molecular mechanisms of COVID-19 and have developed several promising drug candidates and vaccines. This chapter highlights the critical importance of computational drug design strategies in elucidating various aspects of COVID-19 and their contribution to advancing global drug design efforts during the pandemic. Ultimately, the use of computing tools will continue to play an essential role in health research, enabling researchers to develop innovative solutions to combat new and emerging diseases.
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