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Objectives: Although therapeutic agents are currently available to inhibit SARS-CoV-2, most provide supportive and symptomatic relief. Moreover, different variants may exhibit resistance to these treatments. This study aimed to identify a potential compound with favorable antiviral effects against SARS-CoV-2 variants. Methods: The study explored drug discovery through structure-based virtual screening of natural products (NPs) from the StreptomeDB database, targeting the ACE2-binding pocket of the SARS-CoV-2 RBD protein. The analysis included the wild-type protein (PDB ID: 6VW1) as well as the Alpha, Beta, Delta, Lambda, Omicron\/BA.1, and Omicron\/BA.2 variants. Results: In silico screening identified \u2018Stambomycin B\u2019 as a potential compound with the highest binding affinity. Molecular dynamics simulations of the complexes, conducted over 100 ns, confirmed the prediction that \u2018Stambomycin B\u2019 could inhibit different SARS-CoV-2 variants effectively. Conclusions: This study concludes that \u2018Stambomycin B\u2019, a macrolide compound produced by Streptomyces ambofaciens, may be a candidate NP for effectively combating all mutants that occur in the binding of SARS-CoV-2 RBD to ACE2, even those that may arise in the future.<\/jats:p>","DOI":"10.5812\/ijpr-150879","type":"journal-article","created":{"date-parts":[[2024,12,15]],"date-time":"2024-12-15T02:45:23Z","timestamp":1734230723000},"update-policy":"https:\/\/doi.org\/10.5812\/crossmark_update_policy","source":"Crossref","is-referenced-by-count":4,"title":["Predictive Insights Into Bioactive Compounds from Streptomyces as Inhibitors of SARS-CoV-2 Mutant Strains by Receptor Binding Domain: Molecular Docking and Dynamics Simulation Approaches"],"prefix":"10.5812","volume":"23","author":[{"given":"Hourieh","family":"Kalhor","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohammad 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