METABOLIC PROFILING, IN SILICO DOCKING AND ANTIBACTERIAL POTENTIAL OF PHYTOCONSTITUENTS FROM Phyllanthus muellerianus LEAVES
Abstract
Abstract Global increase in the level of antimicrobial resistance among bacterial pathogens has prompted the search for alternative treatment from medicinal plants. Phyllanthus muellerianus (PM) leaves has been used traditionally against microorganisms of medical importance, hence the need to evaluate the pharmacological pathways and mode of actions using in vitro and in silico approaches. Clinical isolates of eight (8) microorganisms associated with urinary tract infections (UTIs) were obtained and identified using morphological and biochemical methods. Phyllanthus muellerianus (PM) leaves were extracted and purified by solvent partitioning. Ethyl acetate fraction of PM had the highest yield and zone diameter range from 13.5±1.00mm to 28±1.53mm. The rate of protein leakage per time interval of Staphylococcus aureus increased from 9.29 μg/ml at 0 minute to 17.43 μg/ml at 120 minutes while leakage in Candida albicans also increased from 8.57 μg/ml at 0 minute to 70.43 μg/ml at 120 minutes. GCMS fingerprints, pharmacodynamics and pharmacokinetic studies revealed the active agent as quindoline, an azaindoles and isoteres of indoles having a binding energy of -9.1 kcal/mol. Analyses of the structural and atomic orientations of quindoline, and superimposition on ciprofloxacin, a common antibiotic revealed an interesting comparison, effecting a stronger binding affinity of Quindoline-HMG-CoA complex.
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Evidence Hub reads this as a preprint, done in computer models (in silico), not in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health.
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