Computational Analysis for Physicochemical Properties of Compounds in Senna auriculata Leaves Methanolic Extract to have Antidiabetic Potentials and their Molecular Interaction with α-amylase

Abstract

Aims: Diabetes mellitus (DM) is chronic disorder well known for increased glucose level in blood. This disease can be controlled by inhibiting the enzyme (e.g., α-amylase) involve in carbohydrate hydrolysis. Senna auriculata leaves methanolic extract (SALME) have potential antidiabetic properties and it was also found to be safe in preclinical studies. In this study the aim was to explore the molecular interactions of α-amylase and bioactive compounds in SALME and their physicochemical properties. Methodology: Computational approach such as molecular docking and physicochemical analysis prediction was applied to understand the antidiabetic potential of natural compounds present in SALME. Results: The results showed from physicochemical analysis that out of 11 only 7 compounds are having drug like properties which are orally and intestinally better bioavailable. Furthermore, molecular docking analysis explained that three compounds (C3, C4, and C7) have lower binding energy, ΔG (-8, -9.1, -9.5 kcal/mol) and better binding affinity, Ki (7.31 x 105, 4.68 x 106, and 9.2 x 106 M-1, respectively) than the acarbose ΔG (-7.8 kcal/mol) and Ki (6.18 x 105 M-1), a well-known FDA approved medication for DM. The study also explained the binding pattern that the catalytic residue such as Asp197, Glu233 and Asp300 are involved in stabilizing the natural compounds with in the catalytic active site of target enzyme. Conclusions: From the results it has been concluded that these three compounds found in SALME have better inhibitory potential for α-amylase in comparison with acarbose. Further validation of the findings is required through molecular dynamics simulation, ADME-T study, and in-vitro enzyme inhibition by the purified compounds.