In Silico profiling of the Angiotensin converting enzyme binding affinities, toxicity and Pharmacokinetics of compounds from the nuts of Areca Catechu, Linn. and its bioisosteres
Abstract
Background: Hypertension is a worldwide epidemic that has been recognized as the most leading global risk for mortality, with its prevalence associated with increased blood pressure, concomitant risks of cardiovascular and kidney diseases, and major commonality in individuals advanced in age. With the current treatment options for hypertension management, there is still a need to develop therapies that directly target receptors that aid in hypertension treatment.
Methodology: The study focused on the in-silico profiling of the reported compounds from Areca catechu L. (fam. Arecaceae) towards the n-domain and c-domain angiotensin converting enzyme (ACE) receptor models. Bioisosteric replacement was used to create bioisosteres investigated for similar binding affinity.
Results: Some A. catechu compounds exhibited favorable binding energies towards the n- and c-domain receptor models of ACE, binding in the same ACE ligand binding site as lisinopril, benazepril, and sampatrilat via similar interactions and amino acid residues. The majority of A. catechu compounds with favorable ACE bindingenergies belong to the phytochemical classes of flavonoids, polyphenols and phenolics, glycosides, and steroids. After in silico toxicity and pharmacokinetic profiling, the bioisosteres Leuco-DM02-39, Leuco-DM02-66, Leuco- DM05-60, Querc-DM09-63, and Querc-DM14-31 with binding energies higher than their parent compounds and comparable to lisinopril, benazepril, and sampatrilat were deemed the best.
Conclusion: A. catechu compounds have the potential to target ACE n-domain and c-domain receptor models. Three leucocyanidin and two quercetin bioisosteres exhibited favorable binding to the n-domain and c-domain ACE receptor models and could be further optimized to derive a promising antihypertensive agent through ACE inhibition.
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Print ISSN: 2704-3517; Online ISSN: 2783-042X