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Elucidating the antibacterial efficacy of thiadiazol derivative against carbapenem-resistant Klebsiella pneumoniae and Pseudomonas aeruginosa: An in-silico perspective

20248 citationsOpen accessUniversity of Calabar

Abstract

The sobering reality is that numerous infectious diseases can no longer be effectively treated with antibiotics, necessitating immediate attention and action. Therefore, this study explores a thiadiazol derivative for the purpose of elucidating its antibacterial efficacy against carbapenem-resistant Klebsiella pneumonia and Pseudomonas aeruginosa. Prior to this examination, the compound (DOP) under study was structurally and electronically investigated utilizing density functional theory (DFT) at the ωB97XD/6–311++G (d, p) level of theory. Interestingly, this comprehensive investigation encompassed spectral analyses including FT-IR, and UV-excitation all studied in different solvents including DMSO, water, and methanol. Results of the frontier molecular orbital (FMO) analysis, DOP_gas showcased the lowest energy gap of 3.943 eV, implying heightened reactivity. Substantially, results from the pharmacokinetic studies illuminated facets of distribution, metabolism, and toxicity. Thus, registering the compound to possess incredible drug-like properties suggesting no detriments in terms of treatment. Notwithstanding, resounding results from the molecular docking studies presented DOP exhibited notable binding affinities and formed strong conventional hydrogen bonds with specific residues, indicating robust interactions. Particularly, DOP_6V78 and DOP_4WEJ displayed the highest affinities of -11.0 kcal/mol and 10.1 kcal/mol against Klebsiella pneumonia and Pseudomonas aeruginosa, respectively. These findings underscore the potential therapeutic efficacy of DOP against Carbapenem-resistant strains, suggesting its favorable attributes in comparison to conventional drugs in terms of binding affinity and interaction strength.

Research topics

  • Synthesis and biological activity
  • Phenothiazines and Benzothiazines Synthesis and Activities
  • Computational Drug Discovery Methods

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DOI: 10.1016/j.chphi.2024.100466

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