Research Article

Identification of potential antidiabetic inhibitor from Mimosa pudica Linn. through in silico molecular modeling and DFT tools

Volume: 29 Number: 4 July 5, 2025
  • Chandrasekar Palanichamy
  • Parasuraman Pavadai
  • Panneerselvam Theivendren
  • Madasamy Sundar
  • Alagarsamy Santhana Krishna Kumar
  • Selvaraj Kunjiappan *
EN

Identification of potential antidiabetic inhibitor from Mimosa pudica Linn. through in silico molecular modeling and DFT tools

Abstract

Presently prescribed synthetic antidiabetic drugs effectively manage type 2 diabetes mellitus (T2DM) and, at the same time, cause severe toxic side effects. Generating novel molecules is significantly hampered by their longer time and insufficient physicochemical, pharmacokinetic, and intrinsic properties. In this view, a potential antidiabetic inhibitor from Mimosa pudica L. can be identified via in silico molecular modeling and Density Functional Theory (DFT) tools for effi-ciently managing T2DM with minimal side effects. Primarily, we evaluated the network analysis to observe the genes, proteins, and enzymes contributing to the signaling network of Peroxisome proliferator-activated receptors (PPARs) family proteins and identified PPARγ as a potential antidiabetic receptor protein. Thirty-six bioactive molecules were picked from M. pudica L. ethanolic extract through LC-MS and GC-MS analysis of our previous study report. Based on the pilot study, the selected molecule’s structure was drawn using Chemsketch software and docked against the PPARγ receptor. Interestingly, three high-scoring molecules were observed, namely, apigetrin (-8.6 kcal/mol), orientin ( 8.5 kcal/mol), isoquercetin (-8.3 kcal/mol), whereas compared to standard reference drug pioglitazone (-8.3 kcal/mol). In addition, molecular dynamics (MD) simulation research to discover intermolecular interactions and the stability of protein-ligand complexes. The in silico ADME&T studies displayed that apigetrin showed drug-like behaviours and less toxic effects. Further, MD simulation studies established the stability of apigetrin and orientin with the PPARγ protein binding pockets. According to these discoveries, the top-scored molecule, apigetrin, might be used as a potential antidiabetic inhibitor and can be used as a new optional medicine for the therapy of T2DM.

Keywords

References

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Details

Primary Language

English

Subjects

Pharmaceutical Biotechnology

Journal Section

Research Article

Authors

Chandrasekar Palanichamy This is me
India

Panneerselvam Theivendren This is me
India

Madasamy Sundar This is me
India

Alagarsamy Santhana Krishna Kumar This is me
Taiwan

Selvaraj Kunjiappan * This is me
India

Publication Date

July 5, 2025

Submission Date

July 12, 2024

Acceptance Date

August 22, 2024

Published in Issue

Year 2025 Volume: 29 Number: 4

APA
Palanichamy, C., Pavadai, P., Theivendren, P., Sundar, M., Santhana Krishna Kumar, A., & Kunjiappan, S. (2025). Identification of potential antidiabetic inhibitor from Mimosa pudica Linn. through in silico molecular modeling and DFT tools. Journal of Research in Pharmacy, 29(4), 1468-1484. https://doi.org/10.12991/jrespharm.1734539
AMA
1.Palanichamy C, Pavadai P, Theivendren P, Sundar M, Santhana Krishna Kumar A, Kunjiappan S. Identification of potential antidiabetic inhibitor from Mimosa pudica Linn. through in silico molecular modeling and DFT tools. J. Res. Pharm. 2025;29(4):1468-1484. doi:10.12991/jrespharm.1734539
Chicago
Palanichamy, Chandrasekar, Parasuraman Pavadai, Panneerselvam Theivendren, Madasamy Sundar, Alagarsamy Santhana Krishna Kumar, and Selvaraj Kunjiappan. 2025. “Identification of Potential Antidiabetic Inhibitor from Mimosa Pudica Linn. Through in Silico Molecular Modeling and DFT Tools”. Journal of Research in Pharmacy 29 (4): 1468-84. https://doi.org/10.12991/jrespharm.1734539.
EndNote
Palanichamy C, Pavadai P, Theivendren P, Sundar M, Santhana Krishna Kumar A, Kunjiappan S (July 1, 2025) Identification of potential antidiabetic inhibitor from Mimosa pudica Linn. through in silico molecular modeling and DFT tools. Journal of Research in Pharmacy 29 4 1468–1484.
IEEE
[1]C. Palanichamy, P. Pavadai, P. Theivendren, M. Sundar, A. Santhana Krishna Kumar, and S. Kunjiappan, “Identification of potential antidiabetic inhibitor from Mimosa pudica Linn. through in silico molecular modeling and DFT tools”, J. Res. Pharm., vol. 29, no. 4, pp. 1468–1484, July 2025, doi: 10.12991/jrespharm.1734539.
ISNAD
Palanichamy, Chandrasekar - Pavadai, Parasuraman - Theivendren, Panneerselvam - Sundar, Madasamy - Santhana Krishna Kumar, Alagarsamy - Kunjiappan, Selvaraj. “Identification of Potential Antidiabetic Inhibitor from Mimosa Pudica Linn. Through in Silico Molecular Modeling and DFT Tools”. Journal of Research in Pharmacy 29/4 (July 1, 2025): 1468-1484. https://doi.org/10.12991/jrespharm.1734539.
JAMA
1.Palanichamy C, Pavadai P, Theivendren P, Sundar M, Santhana Krishna Kumar A, Kunjiappan S. Identification of potential antidiabetic inhibitor from Mimosa pudica Linn. through in silico molecular modeling and DFT tools. J. Res. Pharm. 2025;29:1468–1484.
MLA
Palanichamy, Chandrasekar, et al. “Identification of Potential Antidiabetic Inhibitor from Mimosa Pudica Linn. Through in Silico Molecular Modeling and DFT Tools”. Journal of Research in Pharmacy, vol. 29, no. 4, July 2025, pp. 1468-84, doi:10.12991/jrespharm.1734539.
Vancouver
1.Chandrasekar Palanichamy, Parasuraman Pavadai, Panneerselvam Theivendren, Madasamy Sundar, Alagarsamy Santhana Krishna Kumar, Selvaraj Kunjiappan. Identification of potential antidiabetic inhibitor from Mimosa pudica Linn. through in silico molecular modeling and DFT tools. J. Res. Pharm. 2025 Jul. 1;29(4):1468-84. doi:10.12991/jrespharm.1734539

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