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Pharmaceutical Sciences and Drug Design

2023 Volume 3

In Silico Evaluation of Anti-Inflammatory Phytochemicals from Nyctanthes arbor-tristis Linn Using Molecular Docking and Dynamics Approaches


, , ,
  1. Department of Pharmaceutical Sciences, School of Pharmacy, National University of Singapore, Singapore.
  2. Department of Drug Discovery, Faculty of Pharmacy, University of Queensland, Brisbane, Australia.
  3. Department of Medicinal Chemistry, Faculty of Pharmacy, University of Toronto, Toronto, Canada.
Abstract

Pharmacological studies on the leaves, flowers, seeds, and bark of Nyctanthes arbor-tristis Linn have confirmed their traditional therapeutic roles in managing diverse health conditions. This research assessed the anti-inflammatory capabilities of 26 plant-derived compounds through molecular docking with AutoDock 4.2, supplemented by Molecular Dynamics Simulations using GROMACS. SwissADME was employed to analyze ADME (absorption, distribution, metabolism, and excretion) profiles. Among these, Arb_E and Beta-sito exhibited robust binding interactions with targets including COX-1, COX-2, PDE4, PDE7, IL-17A, IL-17D, TNF-α, IL-1β, prostaglandin E2, and prostaglandin F synthase. The standard inhibitor celecoxib showed a binding energy of −9.29 kcal/mol, whereas Arb_E stood out with the highest affinity (docking energy: −10.26 kcal/mol). Beta_sito also demonstrated substantial binding with −8.86 kcal/mol against COX-2. In simulations of COX-2 complexed with Arb_E or celecoxib, RMSD values stayed within 0.15 to 0.25 nm, confirming complex stability over the entire duration. Additionally, MM-PBSA calculations indicated that Arb_E's interaction with COX-2 had the most favorable binding energy at −277.602 kJ/mol. Both compounds presented desirable physicochemical properties and drug-likeness in ADME evaluations, suggesting strong therapeutic promise. Hence, these plant constituents may represent viable candidates for anti-inflammatory therapy and require further validation through in vitro and in vivo testing to advance new drug development. 


How to cite this article
Vancouver
Tan GY, Lim WM, Ong HX, Koh R. In Silico Evaluation of Anti-Inflammatory Phytochemicals from Nyctanthes arbor-tristis Linn Using Molecular Docking and Dynamics Approaches. Pharm Sci Drug Des. 2023;3:295-311. https://doi.org/10.51847/ZfL8Qbasl5
APA
Tan, G. Y., Lim, W. M., Ong, H. X., & Koh, R. (2023). In Silico Evaluation of Anti-Inflammatory Phytochemicals from Nyctanthes arbor-tristis Linn Using Molecular Docking and Dynamics Approaches. Pharmaceutical Sciences and Drug Design, 3, 295-311. https://doi.org/10.51847/ZfL8Qbasl5

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