Effective Drug Candidates against Global Pandemic of Novel Corona Virus (nCoV-2019): A Probability Check through Computational Approach for Public Health Emergency
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Updated: Jul 25, 2025

Engineering Antiviral Agents via Surface Plasmon Resonance
Published on: June 14, 2022
C G Bonde1, J Gawad1, R P Bhole2
1Drug Design Laboratory, Department of Pharmaceutical Chemistry, SVKM's NMIMS School of Pharmacy and Technology Management, 425 405 Shirpur Campus, India.
Abstract:
The infection of a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) started form Wuhan, Chinais a devastating and the incidence rate has increased worldwide. Due to the lack of effective treatment against SARS-CoV-2, various strategies are being tested in China and throughout the world, including drug repurposing. To identify the potent clinical antiretroviral drug candidate against pandemic nCov-19 through computational tools. In this study, we used molecular modelling tool (molecular modelling and molecular dynamics) to identify commercially available drugs that could act on protease proteins of SARS-CoV-2. The result showed that Saquinavir, an antiretroviral medication can be used as a first line agent to treat SARS-CoV-2 infection. Saquinavir showed promising binding to the protease active site compared to other possible antiviral agents such as Nelfinavir and Lopinavir. Structural flexibility is one of the important physical properties that affect protein conformation and function and taking this account we performed molecular dynamics studies. Molecular dynamics studies and free energy calculations suggest that Saquinavir binds better to the COVID-19 protease compared to other known antiretrovirals. Our studies clearly propose repurposing of known protease inhibitors for the treatment of COVID-19 infection. Previously ritonavir and lopinavir were proved an important analogues for SARS and MERS in supressing these viruses. In this study it was found that saquinavir has exhibited good G-score and E-model score compared to other analogues. So saquinavir would be prescribe to cure for nCov-2019 either single drug or maybe in combination with ritonavir.
Insights
Computational analysis identified Saquinavir as a potent drug candidate for treating severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. This antiretroviral medication shows promising binding to the virus
Area of Science:
- Virology
- Computational Chemistry
- Drug Discovery
Background:
- The global increase in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections necessitates urgent development of effective treatments.
- Drug repurposing is a key strategy to rapidly identify potential therapies for novel viral diseases like COVID-19.
Purpose of the Study:
- To identify potent, commercially available antiretroviral drugs for treating SARS-CoV-2 infection using computational methods.
- To evaluate the efficacy of existing antiretroviral drugs against SARS-CoV-2 protease through molecular modeling.
Main Methods:
- Utilized molecular modeling and molecular dynamics simulations to assess drug-protein interactions.
- Performed free energy calculations to compare binding affinities of various antiretroviral agents to SARS-CoV-2 protease.
- Analyzed structural flexibility and binding scores (G-score, E-model) of candidate drugs.
Main Results:
- Saquinavir demonstrated superior binding affinity to the SARS-CoV-2 protease active site compared to Nelfinavir and Lopinavir.
- Molecular dynamics studies indicated better binding of Saquinavir to the COVID-19 protease.
- Saquinavir exhibited favorable G-score and E-model scores, suggesting significant therapeutic potential.
Conclusions:
- Repurposing known protease inhibitors, particularly Saquinavir, is a viable strategy for treating SARS-CoV-2 infections.
- Saquinavir shows promise as a first-line agent, potentially in combination with Ritonavir, for managing COVID-19.
- Further clinical investigation into Saquinavir for SARS-CoV-2 treatment is warranted.
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