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Computational Insights into the Antidiabetic Potential of Young Fronds of Diplazium esculentum (Retz.) Sw.: In silico Analysis of α-Amylase and α-Glucosidase Inhibition
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Abstract
Objective:
Diplazium esculentum
(Retz.) Sw. is a dietary plant and possesses diverse biological properties, including potential antidiabetic effects. However, the antidiabetic potential of its young fronds remains unexplored. To bridge this gap, we conducted a computational analysis to assess their anti-diabetic activity by targeting key enzymes, α-amylase and α-glucosidase, which perform a fundamental role in the development of diabetes mellitus (DM).
Materials and Methods:
The ligands and target proteins associated with DM were obtained from PubChem and the Protein Data Bank, respectively. Drug-likeness and absorption, distribution, metabolism, excretion, and toxicity properties were assessed using MolSoft and the pkCSM repository for predictive modeling. This study investigated their interaction with key carbohydrate-hydrolysing enzymes involved in DM pathogenesis. Molecular docking was executed to appraise the binding energy of selected bioactive compounds.
Results:
Among the 11 docked phytochemicals, quercetin exhibited the highest binding energy (−294.64 kcal/mol) with α-amylase, forming three hydrogen bonds with key amino acid units. In addition, α-glucosidase docking results showed strong binding interaction with quercetin (−121.471 kcal/mol), forming three hydrogen bonds with two amino acids. Further investigation of quercetin, which exhibited the highest binding energy with α-amylase, was conducted using Schrödinger Maestro for molecular dynamics simulation at 500 ns. The results demonstrated improved stability, as indicated by root-mean-square fluctuation, root-mean-square deviation, and protein-ligand contact analyses, reinforcing its potential as a promising inhibitor of α-amylase.
Conclusions:
Bioactive compounds from
D. esculentum
, like quercetin, show promise as natural inhibitors for managing type 2 diabetes, warranting further research and development.
Ovid Technologies (Wolters Kluwer Health)
Title: Computational Insights into the Antidiabetic Potential of Young Fronds of Diplazium esculentum (Retz.) Sw.: In silico Analysis of α-Amylase and α-Glucosidase Inhibition
Description:
Abstract
Objective:
Diplazium esculentum
(Retz.
) Sw.
is a dietary plant and possesses diverse biological properties, including potential antidiabetic effects.
However, the antidiabetic potential of its young fronds remains unexplored.
To bridge this gap, we conducted a computational analysis to assess their anti-diabetic activity by targeting key enzymes, α-amylase and α-glucosidase, which perform a fundamental role in the development of diabetes mellitus (DM).
Materials and Methods:
The ligands and target proteins associated with DM were obtained from PubChem and the Protein Data Bank, respectively.
Drug-likeness and absorption, distribution, metabolism, excretion, and toxicity properties were assessed using MolSoft and the pkCSM repository for predictive modeling.
This study investigated their interaction with key carbohydrate-hydrolysing enzymes involved in DM pathogenesis.
Molecular docking was executed to appraise the binding energy of selected bioactive compounds.
Results:
Among the 11 docked phytochemicals, quercetin exhibited the highest binding energy (−294.
64 kcal/mol) with α-amylase, forming three hydrogen bonds with key amino acid units.
In addition, α-glucosidase docking results showed strong binding interaction with quercetin (−121.
471 kcal/mol), forming three hydrogen bonds with two amino acids.
Further investigation of quercetin, which exhibited the highest binding energy with α-amylase, was conducted using Schrödinger Maestro for molecular dynamics simulation at 500 ns.
The results demonstrated improved stability, as indicated by root-mean-square fluctuation, root-mean-square deviation, and protein-ligand contact analyses, reinforcing its potential as a promising inhibitor of α-amylase.
Conclusions:
Bioactive compounds from
D.
esculentum
, like quercetin, show promise as natural inhibitors for managing type 2 diabetes, warranting further research and development.
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