In silico Prediction of the Potential of Bioactive Compounds from Glycosmis pentaphylla (Retz.) Against Protein Targets in Alzheimer's Disease

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Nattapol Palawat
Chanitchote Piyapittayanun
Varundhorn Chuaboonmee
Phuphiphat Jaikaew

Abstract

Glycosmis pentaphylla (Retz.) is a traditional Thai herb used in many Thai medicine recipes. It was reported to have anti-inflammatory effects, reduce cholesterol levels, and possess antioxidant properties. In addition, it also has cholinesterase inhibitory properties which are related to Alzheimer's disease (AD). Bioactive compounds might be considered as an alternative to current Alzheimer's medications, which exhibited many side effects. This study aims to investigate binding patterns between bioactive compounds from a medicinal plant G. pentaphylla (Retz.) against target proteins of AD using molecular docking techniques and molecular interactions that were identified through the PLIP program. The 40 bioactive compounds in G. pentaphylla (Retz.) and the 23 Food and Drug Administration (FDA)-approved drugs of AD were examined for the best binding energy among the 46 target proteins of AD. The result shows that the binding energy between α-phenylindole and β2-adrenergic was -9.4 kilocalorie per mole (kcal/mol). The molecular interaction analysis found one hydrogen bond and seven hydrophobic forces. While the binding energy between Rivastigmine and β2-adrenergic drug was -7.8 kcal/mol indicating that α-phenylindole had a better binding affinity to β2-adrenergic. In addition, there were four overlapping binding sites of hydrophobic forces: VAL1114A, PHE1193A, PHE1289A, and TYR1308A on α-phenylindole and Rivastigmine. These results propose a potential alternative for treating or alleviating AD symptoms in the future.

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How to Cite
Palawat, N., Piyapittayanun, C., Chuaboonmee, V., & Jaikaew, P. (2025). In silico Prediction of the Potential of Bioactive Compounds from Glycosmis pentaphylla (Retz.) Against Protein Targets in Alzheimer’s Disease. Wichcha Journal Nakhon Si Thammarat Rajabhat University, 44(1), 38–51. https://doi.org/10.65217/wichchajnstru.2025.v44i1.263261
Section
Research Articles

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