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In Silico Comparative Analysis of Ivermectin and Nirmatrelvir Inhibitors Interacting with the SARS-CoV-2 Main Protease.
de Oliveira Só, Yuri Alves; Bezerra, Katyanna Sales; Gargano, Ricardo; Mendonça, Fabio L L; Souto, Janeusa Trindade; Fulco, Umberto L; Pereira Junior, Marcelo Lopes; Junior, Luiz Antônio Ribeiro.
Afiliación
  • de Oliveira Só YA; Institute of Physics, University of Brasília, Brasília 70910-900, Brazil.
  • Bezerra KS; Department of Biophysics and Pharmacology, Federal University of Rio Grande do Norte, Natal 59078-570, Brazil.
  • Gargano R; Institute of Physics, University of Brasília, Brasília 70910-900, Brazil.
  • Mendonça FLL; Department of Electrical Engineering, College of Technology, University of Brasília, Brasília 70910-900, Brazil.
  • Souto JT; Department of Microbiology and Parasitology, Biosciences Center, Federal University of Rio Grande do Norte, Natal 59064-741, Brazil.
  • Fulco UL; Department of Biophysics and Pharmacology, Federal University of Rio Grande do Norte, Natal 59078-570, Brazil.
  • Pereira Junior ML; Department of Electrical Engineering, College of Technology, University of Brasília, Brasília 70910-900, Brazil.
  • Junior LAR; Institute of Physics, University of Brasília, Brasília 70910-900, Brazil.
Biomolecules ; 14(7)2024 Jun 25.
Article en En | MEDLINE | ID: mdl-39062468
ABSTRACT
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 Mpro, 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 Mpro(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 Mpro(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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Antivirales / Ivermectina / Simulación de Dinámica Molecular / Simulación del Acoplamiento Molecular / Proteasas 3C de Coronavirus / SARS-CoV-2 / Tratamiento Farmacológico de COVID-19 Límite: Humans Idioma: En Revista: Biomolecules Año: 2024 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Antivirales / Ivermectina / Simulación de Dinámica Molecular / Simulación del Acoplamiento Molecular / Proteasas 3C de Coronavirus / SARS-CoV-2 / Tratamiento Farmacológico de COVID-19 Límite: Humans Idioma: En Revista: Biomolecules Año: 2024 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Suiza