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Exploring therapeutic options is crucial in the ongoing COVID-19 pandemic caused by SARS-CoV-2. Nirmatrelvir, which is a potent inhibitor that targets the SARS-CoV-2 M pro , shows promise as an antiviral treatment. Additionally, Ivermectin, which is a broad-spectrum antiparasitic drug, has demonstrated effectiveness against the virus in laboratory settings. However, its clinical implications are still debated. Using computational methods, such as molecular docking and 100 ns molecular dynamics simulations, we investigated how Nirmatrelvir and Ivermectin interacted with SARS-CoV-2 M pro(A) . Calculations using density functional theory were instrumental in elucidating the behavior of isolated molecules, primarily by analyzing the frontier molecular orbitals. Our analysis revealed distinct binding patterns: Nirmatrelvir formed strong interactions with amino acids, like MET49, MET165, HIS41, HIS163, HIS164, PHE140, CYS145, GLU166, and ASN142, showing stable binding, with a root-mean-square deviation (RMSD) of around 2.0 Å. On the other hand, Ivermectin interacted with THR237, THR239, LEU271, LEU272, and LEU287, displaying an RMSD of 1.87 Å, indicating enduring interactions. Both ligands stabilized M pro(A) , with Ivermectin showing stability and persistent interactions despite forming fewer hydrogen bonds. These findings offer detailed insights into how Nirmatrelvir and Ivermectin bind to the SARS-CoV-2 main protease, providing valuable information for potential therapeutic strategies against COVID-19.

The emergent Zika virus (ZIKV) infection has become a threat to global health due to its association with severe neurological abnormalities, namely Guillain-Barré Syndrome (GBS) in adults and Congenital Zika virus Syndrome (CZS) in neonates. Many studies are nowadays being conducted to find an effective antiviral drug against ZIKV. In particular, NS2B-NS3 protease is an attractive drug target due to its essential function in viral replication, although a drug is not yet commercially available. In this context, we present here a comparative structural study, based on quantum chemistry calculations, to analyze the intermolecular binding energies between the crystallographic structure of NS2B-NS3 protease and dipeptide boronic acid (cn-716) and aldehyde (acyl-KR-aldehyde) peptidomimetic inhibitors, by using the molecular fractionation with conjugate caps (MFCC) scheme within the density functional theory (DFT) formalism. Most intermolecular interactions in cn-716/NS2B-NS3 (acyl-KR-aldehyde/NS2B-NS3) are due to the amino acid residues Asp83*, His51, Asp129, Ser81*, Gly133, Ala132, Tyr161, Asn152 and Asp75 (Asp83*, Asp129, His51, Asn152, Tyr161, Tyr130, Gly153, Gly151, Asp75, Pro131, and Gly82). Additionally, we have considered missense mutation analysis of these residues to evaluate the destabilization and the increase of the flexibility of the protease, showing that mutation of the residues Tyr161 and Tyr130 causes more impact. Our simulations are a valuable tool for a better understanding of the binding mechanism of recognized inhibitors of NS2B-NS3 protease, and can lead to the rational design and development of novel anti-Zika drugs with improved efficiency.