Resumen

EDACHE, Emmanuel Israel; UZAIRU, Adamu; MAMZA, Paul Andrew  y  SHALLANGWA, Gideon Adamu. Theoretical Investigation of the Cooperation of Iminoguanidine with the Enzymes-Binding Domain of Covid-19 and Bacterial Lysozyme Inhibitors and their Pharmacokinetic Properties. J. Mex. Chem. Soc [online]. 2022, vol.66, n.4, pp.513-542.  Epub 10-Abr-2023. ISSN 1870-249X.  https://doi.org/10.29356/jmcs.v66i4.1726.

The investigation for innovative treatments for Pseudomonas aeruginosa and SARS-CoV-2 is a burgeoning field. Even though scientists and pharmaceutical companies have made significant contributions to the research of multi-drug resistance infections from a variety of perspectives, these diseases remain incurable. As a result, developing novel and more effective drugs for proteins associated with Pseudomonas aeruginosa and SARS-CoV-2 has become a top priority in recent years. In this regard, the protein is known as a putative inhibitor of vertebrate lysozyme [Pseudomonas aeruginosa] and chain A, spike protein S1 [SARS-CoV-2], and it is one of the key targets for the development of new drug candidates that could be used as inhibitors in both Pseudomonas aeruginosa and SARS-CoV-2 chemotherapies. The structural characteristics and binding mechanism of certain inhibitors of Pseudomonas aeruginosa and SARS-CoV-2 receptor were investigated using Quantitative-Structure Activity Relationship (QSAR), homology modeling, molecular docking, and molecular dynamics simulation in this study. To create a 3D model of the receptors, a homology modeling approach was used. The X-ray crystal structures of chain A inhibitor of vertebrate lysozyme (PDB: 4PS6) and chain A spike protein S1 (PDB: 7MZF), respectively, were employed as templates for this technique. The final projected structure is obtained and examined by the programs ERRAT, VERIFY3D, and PROCHECK, confirming that the final model is credible. The anticipated structure was fine-tuned before being employed in docking simulations. The results of the structure-based virtual screening show that two potent new lead molecules, compounds 7 and 15, have the most noteworthy affinity to the predicted 3D receptors. The docked compound 15 was subjected to a 1 ns molecular dynamics (MD) simulation. Compound 15 produced more hydrophobic and van der Waal's contacts, according to MD simulations, and binds to SARS-CoV-2 spike protein S1 more closely. The Lipinski rule of five assessment revealed that these lead compounds had significant pharmacological characteristics. As a result, the current research will aid in the development and synthesis of another class of chain A inhibitors of vertebrate lysozyme and chain A spike protein S1 inhibitors that restore drug compound susceptibilities.

Palabras llave : Pseudomonas aeruginosa; SARS-CoV-2; QSAR; homology modelling; Ramachandran plot; docking simulations; molecular dynamic simulations; ADME.