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BACKGROUND: Coronavirus disease-(COVID-19) is an infectious pandemic caused by SARS-CoV-2. SARS-CoV-2 main protease (M(pro)) and spike protein are crucial for viral replication and transmission. Spike protein recognizes the human ACE2 receptor and transmits SARS-CoV-2 into the human body. Thus, M(pro), spike protein, and ACE2 receptor act as appropriate targets for the development of therapeutics against SARS-CoV-2. Spices are traditionally known to have anti-viral and immune-boosting activities. Therefore, we investigated the possible use of selected spice bioactives against the potential targets of SARS-CoV-2 using computational analysis. METHODS: Molecular docking analysis was performed to analyze the binding efficiency of spice bioactives against SARS-CoV-2 target proteins along with the standard drugs. Drug-likeness properties of selected spice bioactives were investigated using Lipinski\'s rule of five and the SWISSADME database. Pharmacological properties such as ADME/T, biological functions, and toxicity were analyzed using ADMETlab, PASS-prediction, and ProTox-II servers, respectively. RESULTS: Out of forty-six spice bioactives screened, six bioactives have shown relatively better binding energies than the standard drugs and have a higher affinity with at least more than two targets of SARS-CoV-2. The selected bioactives were analyzed for their binding similarities with the standard drug, remdesivir, towards the targets of SARS-CoV-2. Selected spice bioactives have shown potential drug-likeness properties, with higher GI absorption rate, lower toxicity with pleiotropic biological roles. CONCLUSIONS: Spice bioactives have the potential to bind with the specific targets involved in SARS-CoV-2 infection and transmission. Therefore, spice-based nutraceuticals can be developed for the prevention and treatment of COVID-19.
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10.1016/j.compbiomed.2020.104102
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document_parses/pdf_json/9b5b5180996e6710ceeca584fbb96c3cac05be28.json
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document_parses/pmc_json/PMC7606080.xml.json
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Culinary Spice Bioactives as Potential Therapeutics against SARS-CoV-2: Computational Investigation
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