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Synthesis, characterization and in vitro, in vivo, in silico biological evaluations of substituted benzimidazole derivatives

Sabreena Chowdhury Raka, Arifur Rahman, Fahad Hussain, S. M. Abdur Rahman

Saudi Journal of Biological Sciences, 2021

34 citations

Abstract

A series of substituted benzimidazole derivatives were synthesized by reacting O-phenylenediamine with various aromatic aldehydes or glycolic acid using various inexpensive reagents in aqueous media. Synthesized compounds were characterized and elucidated by IR, 1H NMR, ESI-MS spectra. Resultant compounds were screened for in vitro antimicrobial, cytotoxic, antioxidant, lipid peroxidation and cholinesterase inhibitory activities, in vivo analgesic and anti-inflammatory, and in silico anti-acetylcholinesterase and anti-butyrylcholinesterase activities. Among the synthesized compounds, compound 3b showed most promising central analgesic effect (46.15%) compared to morphine (48.08%), whereas compounds 6, 3c and 3a showed significant peripheral analgesic activity at two different dose levels (25 mg/kg and 50 mg/kg). Compounds 3b and 3a at the dose of 100 mg/kg showed significant anti-inflammatory effects from the first hour and onward, whereas compounds 6 and 3b showed moderate cytotoxic activities. In addition, compound 3a showed significant antioxidant activity having IC50 value of 16.73 µg/ml compared to 14.44 µg/ml for the standard BHT. Compound 6, 3a and 3b exhibited mild to moderate cholinesterase inhibitory activity. In silico studies revealed that compound 3a and 3b might be suitable for cholinesterase inhibitory activity. A comprehensive computational and experimental data suggested compounds 3b and 3a as the best possible candidates for pharmacological activity. All…

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Evidence Hub reads this as a simulation / modelling, done in animal and cell cultures (in vitro) and 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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