Review reveals computational strategies targeting SARS-CoV-2 entry and replication mechanisms, highlighting in silico tools to accelerate drug design against resistant viral mutants.
The SARS-CoV-2 pandemic has significantly impacted global health, politics, medicine, finance, and society. Since 2020, various mutations have been reported, leading to drug resistance in current treatments against different SARS-CoV-2 strains and a drastic increase in cases of long-COVID. This situation underscores the urgent need to develop targeted and effective drugs to combat the spread of SARS-CoV-2 strains and their mutants, manage long-COVID symptoms and prepare for future pandemics. Currently, the treatment of SARS-CoV-2 focuses on targeting the virus’s entry and replication mechanisms to disrupt its life cycle. This review examines approved drugs, clinical candidates, and inhibitors under development, along with their bioassay data, while highlighting associated challenges. It illustrates how inhibitors bind to active sites, providing insights and emphasizing the importance of in silico studies, such as molecular docking, molecular dynamics simulation, FEP+, WaterMap, and quantitative structure–activity relationship (QSAR) analyses, and their correlation with experimental studies in expediting the drug discovery process. The review aims to provide researchers with insights into the gaps that need to be addressed concerning mutations affecting viral entry and to prepare for future pandemics.
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Nodola et al. (2026) studied this question.
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