Ligand-based virtual screening and dynamic simulation identified several potential renin inhibitors with an HHHPR five-point pharmacophore feature from the Enamine and LifeChemical databases.
Computational screening identified novel potential renin inhibitors using a five-point pharmacophore model, offering candidates for future hypertension drug discovery.
The renin enzyme is considered a promising target for hypertension and renal diseases. Over the last three decades, several experimental and theoretical studies have been engaged in the discovery of potent renin inhibitors. The identified inhibitors that undergo clinical trials are still failing to meet the criteria of potency and safety. To date, there is no specific FDA-approved drug for renin inhibition. Our theoretical opinion describes that the most potent compounds identified in experimental studies but lacking safety and overdose issues could be solved by finding similar molecules that are stable, very active, and have no side effects, which will kick start the drug discovery process. Here, we utilized the most potent direct renin inhibitors reported earlier, followed further by our theoretical study reported in 2019. Ligand-based virtual screening, density functional theory, and dynamic simulation studies were employed to explore the identified compounds and co-crystallized molecule in the protein structure. From the diverse databases, we have identified several identical molecules based on their structural features, such as functional groups like hydrophobic (H), aromatic rings (R), hydrogen bond acceptor (A), and donor (D). The HHHPR five-point pharmacophore feature was identified as a template pharmacophore to search the potential compounds from the Enamine and LifeChemical databases and have a good fitness score with known renin inhibitors. Furthermore, theoretical validation was done through several studies that confirmed the activity of the identified molecules. Overall, we propose that these compounds might break the failure in adverse events and improve the potency of hypertension treatment.Communicated by Ramaswamy H. Sarma.
Loganathan et al. (Sat,) conducted a other in Hypertension. Ligand-based pharmacophore models for renin inhibition was evaluated on Identification of potential compounds with good fitness score. Ligand-based virtual screening and dynamic simulation identified several potential renin inhibitors with an HHHPR five-point pharmacophore feature from the Enamine and LifeChemical databases.
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