PENDEKATAN NETWORK PHARMACOLOGY DAN MOLECULAR DOCKING DALAM MEMPREDIKSI POTENSI ANTIINFLAMASI EKSTRAK DAUN KARI (Murraya koenigii.)

AMIRA, DURA and Syarif, Nirwan and Shiyan, Shaum (2025) PENDEKATAN NETWORK PHARMACOLOGY DAN MOLECULAR DOCKING DALAM MEMPREDIKSI POTENSI ANTIINFLAMASI EKSTRAK DAUN KARI (Murraya koenigii.). Undergraduate thesis, Sriwijaya University.

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Abstract

Inflammation is a complex biological response resulting from tissue injury, infection, or physical and chemical stimulation that triggers immune cell activation and the release of pro-inflammatory mediators. The use of synthetic anti-inflammatory drugs carries a risk of long-term side effects, so the exploration of natural ingredients with anti-inflammatory potential is an important alternative. Curry leaves (Murraya koenigii) are known to contain a variety of bioactive compounds that have the potential to be natural anti-inflammatory agents. This study aims to identify active compounds and predict the molecular mechanism of curry leaves in anti-inflammatory activity through network pharmacology and molecular docking approaches. The Swiss Target Prediction and GeneCards databases are used to predict targets related to curry leaves and anti-inflammatory. STRING, STITCH and cytoscape used to build a network of disease-target compounds and PPI tissues. Molecular docking is carried out using Autodock Vina to predict the binding of active components to the main action target. The results of Network pharmacology revealed 6 compounds and 17 target proteins with viridiflorol, caryophyllene, humulene, glutamic acid, naphthalene and palmitic acid as potential compounds in anti-inflammatory. The most important protein targets in the anti-inflammatory process include AKT1, PTGS2 and EGFR. The results of molecular docking of compounds and potential targets showed a strong interaction between palmitic acid and PTGS2, with a binding affinity value of -6.823 kcal/mol as well as carryophyllene and EGFR compounds that had the same amino acid residues and similar activities to the comparator compound, indomethacin

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	antiinflamasi, daun kari, molecular docking, Murraya koenigii, network pharmacology
Subjects:	R Medicine > RM Therapeutics. Pharmacology > RM300-666 Drugs and their actions
Divisions:	08-Faculty of Mathematics and Natural Science > 48201-Pharmacy (S1)
Depositing User:	Dura Amira
Date Deposited:	25 May 2025 01:52
Last Modified:	25 May 2025 01:52
URI:	http://repository.unsri.ac.id/id/eprint/173918

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