Molecular Docking and Dynamics Simulation of Natural Compounds from Betel Leaves (Piper betle L.) for Investigating the Potential Inhibition of Alpha-Amylase and Alpha-Glucosidase of Type 2 Diabetes.

Abstract

Piper betle L. is widely distributed and commonly used medicinally important herb. It can also be used as a medication for type 2 diabetes patients. In this study, compounds of P. betle were screened to investigate the inhibitory action of alpha-amylase and alpha-glucosidase against type 2 diabetes through molecular docking, molecular dynamics simulation, and ADMET (absorption, distribution, metabolism, excretion, and toxicity) analysis. The molecule apigenin-7-O-glucoside showed the highest binding affinity among 123 (one hundred twenty-three) tested compounds. This compound simultaneously bound with the two-target proteins alpha-amylase and alpha-glucosidase, with high molecular mechanics-generalized born surface area (MM/GBSA) values (ΔG Bind = -45.02 kcal mol-1 for alpha-amylase and -38.288 for alpha-glucosidase) compared with control inhibitor acarbose, which had binding affinities of -36.796 kcal mol-1 for alpha-amylase and -29.622 kcal mol-1 for alpha-glucosidase. The apigenin-7-O-glucoside was revealed to be the most stable molecule with the highest binding free energy through molecular dynamics simulation, indicating that it could compete with the inhibitors' native ligand. Based on ADMET analysis, this phytochemical exhibited a wide range of physicochemical, pharmacokinetic, and drug-like qualities and had no significant side effects, making them prospective drug candidates for type 2 diabetes. Additional in vitro, in vivo, and clinical investigations are needed to determine the precise efficacy of drugs.

• Authors: Sabbir Ahmed, Md Chayan Ali, Rumana Akter Ruma, Shafi Mahmud, Gobindo Kumar Paul, Md Abu Saleh, Mohammed Merae Alshahrani, Ahmad J Obaidullah, Sudhangshu Kumar Biswas, Md Mafizur Rahman, Md Mizanur Rahman, Md Rezuanul Islam
• Journal: Molecules (Basel, Switzerland) (Molecules) Vol. 27 Issue 14 (Jul 15 2022) ISSN: 1420-3049 [Electronic] Switzerland
• PMID: 35889399 (Publication Type: Journal Article)

Chemical References

• Glucosides
• Glycoside Hydrolase Inhibitors
• Apigenin
• alpha-Amylases
• alpha-Glucosidases

Topics

• Apigenin (pharmacology)
• Diabetes Mellitus, Type 2 (drug therapy)
• Glucosides
• Glycoside Hydrolase Inhibitors (chemistry, pharmacology)
• Humans
• Molecular Docking Simulation
• Molecular Dynamics Simulation
• Piper betle
• alpha-Amylases (metabolism)
• alpha-Glucosidases (metabolism)