Electronic Theses and Dissertation

Polycystic Ovary Syndrome (PCOS) merupakan gangguan endokrin yang ditandai
oleh inflamasi kronik tingkat rendah. Penelitian ini bertujuan untuk menganalisis
potensi senyawa metabolit sekunder ekstrak etanol buah tin (Ficus carica L.)
sebagai kandidat antiinflamasi pada PCOS melalui pendekatan in silico berbasis
analisis bioavailabilitas dan network pharmacology. Sebanyak 21 senyawa hasil
identifikasi GC-MS dianalisis menggunakan Lipinski’s Rule of Five, parameter
ADME, serta prediksi toksisitas melalui SwissADME dan Protox-II. Interaksi antara
senyawa dan target protein penyakit ditentukan menggunakan basis data
SwissTargetPrediction, PASS, GeneCards, NCBI dan STRING, lalu
divisualisasikan melalui Cytoscape 3.10.1. Hasil analisis menunjukkan seluruh
senyawa memenuhi kriteria Lipinski’s Rule of Five dengan skor bioavailabilitas
≥0,55 dan tingkat toksisitas kelas 4–6, menandakan profil keamanan yang baik.
Hasil Gene Ontology dan analisis jalur KEGG menunjukkan keterlibatan proses
biologis seperti positive regulation of interleukin-6 production, response to
oxidative stress, dan aktivasi NF-κB transcription factor activity. Temuan ini
mengindikasikan bahwa ekstrak etanol buah tin memiliki potensi sebagai agen
antiinflamasi multitarget yang bekerja melalui modulasi protein kunci inflamasi
TNF dan MAPK pada PCOS. Namun, validasi eksperimental in vitro dan in vivo
tetap diperlukan untuk mengonfirmasi aktivitas farmakologisnya.
Kata kunci: Polycystic ovary syndrome, Ficus carica L., bioavailabilitas, network
pharmacology, antiinflamasi.

Polycystic Ovary Syndrome (PCOS) is an endocrine disorder characterized by lowgrade chronic inflammation. This study aims to analyze the potential of secondary metabolite compounds from the ethanol extract of fig (Ficus carica L.) as an antiinflammatory candidate for PCOS through an in silico approach based on bioavailability and network pharmacology analysis. A total of 21 compounds identified by GC-MS were analyzed using Lipinski’s Rule of Five, ADME parameters, and toxicity prediction through SwissADME and Protox-II. The interactions between the compounds and disease-related target proteins were determined using the SwissTargetPrediction, PASS, GeneCards, NCBI and STRING databases, and visualized using Cytoscape 3.10.1. The results showed that all compounds met Lipinski’s Rule of Five criteria with bioavailability scores ≥0.55 and toxicity levels in class 4–6, indicating good safety profiles. Gene Ontology and KEGG pathway analyses revealed the involvement of biological processes such as positive regulation of interleukin-6 production, response to oxidative stress, and activation of NF-κB transcription factor activity. These findings indicate that the ethanol extract of fig has potential as a multitarget anti-inflammatory agent acting through modulation of key inflammatory proteins TNF and MAPK in PCOS. However, further in vitro and in vivo validation is required to confirm its pharmacological activity. Keywords: Polycystic ovary syndrome, Ficus carica L., bioavailability, network pharmacology, anti-inflammatory