A molecular docking-based approach identified and evaluated potential natural and synthetic inhibitors of the angiotensin-converting enzyme based on binding affinities and ADME properties.
This computational study provides insights into the interaction properties and drug-likeness of potential natural and synthetic ACE inhibitors for hypertension.
Cardiovascular diseases (CVDs) have become the leading cause of disability and death worldwide, particularly in low- and middle-income countries. Hypertension, a major cause of CVD progression, is widely attributable to genetic, behavioral, and environmental risk factors. Among the genetic reasons, angiotensin II enzyme, produced as a result of abnormal functioning of the renin⁻angiotensin system, is reported as the foremost cause of hypertension. A cascade of genes, including those encoding for WNK kinases (WNK1 and WNK4), Bp1, Bp2, angiotensinogen, and other enzymes, is involved in the conversion of angiotensin I to angiotensin II. However, the angiotensin-converting enzyme (ACE) plays a crucial role in this pathway. Therefore, ACE could be a potential therapeutic target in regulating the conversion of angiotensin I to angiotensin II and eventually controlling hypertension. In this study, a molecular docking-based approach was utilized for identifying and evaluating potential inhibitors of ACE present in herbs, other natural sources, and synthetic sources, on the basis of these compounds' binding affinities and other physicochemical features. In addition, the suitability of these inhibitors as drugs for biological systems, considering their adsorption, distribution, metabolism, and excretion (ADME), was predicted using Lipinski's rule. In conclusion, our study provides a novel and clearer insight into the interaction properties of known putative inhibitors of ACE.
Attique et al. (Thu,) conducted a other in Hypertension. Potential inhibitors of ACE from herbs, natural sources, and synthetic sources was evaluated on Binding affinities and physicochemical features (ADME). A molecular docking-based approach identified and evaluated potential natural and synthetic inhibitors of the angiotensin-converting enzyme based on binding affinities and ADME properties.