Skip to content

In Silico Investigation of Syzygium cumini Phytoconstituents Against Pancreatic Cancer Using Network Pharmacology and Molecular Docking

Aug 2026 · International Journal of Research Publication and Reviews · 0 citations

TL;DR

The study provides a scientific basis for the development of novel plant-derived therapeutic agents and highlights the importance of network pharmacology and molecular docking approaches in modern drug discovery research against pancreatic cancer.

Abstract

Background - The present study focuses on the investigation of the therapeutic potential of Syzygium cumini phytoconstituents against pancreatic cancer using integrated network pharmacology and molecular docking approaches. Syzygium cumini, commonly known as jamun, is a medicinal plant widely recognized for its rich phytochemical composition and diverse pharmacological activities including antioxidant, anti-inflammatory, antidiabetic, and anticancer properties. Several bioactive compounds present in the plant have shown promising effects against various cancer-related pathways and molecular targets. Methods - Bioactive phytoconstituents of Syzygium cumini were identified using phytochemical and bioinformatics databases including imppat and pubchem. Drug-likeness, pharmacokinetic, and toxicity properties were evaluated through ADMET analysis. Potential pancreatic cancer-associated targets were retrieved using Genecards, UniProt, Swiss target prediction databases. Network pharmacology analysis was performed to identify compound-target interactions, protein-protein interaction networks, hub genes, and significant signaling pathways using string and Cytoscape software. Furthermore, molecular docking studies were carried out to evaluate the binding affinity and protein-ligand interaction profiles of selected phytoconstituents with major pancreatic cancer target proteins. Results - The integrated computational analysis revealed significant interactions between selected phytoconstituents and pancreatic cancer-associated target proteins. Several compounds demonstrated favorable drug-likeness properties, strong binding affinity, and stable molecular interactions with key proteins involved in cancer progression, apoptosis, inflammation, and cell proliferation. Network pharmacology findings indicated the involvement of multiple signaling pathways associated with pancreatic carcinogenesis. Conclusions - Based on the obtained results, syzygium cumini phytoconstituents exhibited promising anticancer potential against pancreatic cancer through multi-target mechanisms. The study provides a scientific basis for the development of novel plant-derived therapeutic agents and highlights the importance of network pharmacology and molecular docking approaches in modern drug discovery research against pancreatic cancer.

View source

Similar papers

Open access Sep 2026

Network pharmacology with molecular docking-based anti-aging activity of Vayasthapana Mahakashaya: Computational study

The probable molecular mechanisms of VM in the aging process are demonstrated and knowledge of conventional treatments in antiaging research is advances the knowledge of conventional treatments in antiaging research.

Vijay Kumar Pathak, Swati Dhiryan · 0 citations
Sep 2026

Investigating the phytochemical composition of Curcuma longa, Azadirachta indica, and Asparagus racemosus using network pharmacology and molecular docking approaches for ovarian cancer therapy

The study highlighted the therapeutic action of C. longa, A. indica, and A. racemosus in combating ovarian cancer and promoting the development of plant-based treatments for this cancer through a combined approach of network pharmacology and molecular docking.

Seneha Santoshi, Aastha Tanwar, Riddhi Bahri et al. · 0 citations
Open access Aug 2026

Integrative network pharmacology and molecular modeling approaches reveal the therapeutic potential of Syzygium samarangense phytocompounds against diabetes retinopathy

These multi-target interactions suggest that S. samarangense phytochemicals can modulate key DR-associated pathways, and exhibits promising multi-target activity against Diabetes retinopathy.

Arun Kandhan, B. Mathew, Sundarrajan Thirugnanasambandam · 0 citations
Aug 2026

Computational Evaluation of the Anticancer Potential of Celastrus paniculatus: An Integrative Approach using Network Pharmacology, Molecular Docking, and Molecular Dynamics Simulation

This comprehensive study elucidates the therapeutic efficacy of C. paniculatus in combating lung cancer, thereby facilitating the development of potent anti-cancer interventions.

Jyoti Kumari, R. V. · 0 citations
Open access Sep 2026

Anticancer Mechanism of Thalictrum punduanum Root Extract Against Breast and Colorectal Cancer: A Network Pharmacology and Molecular Docking Simulation Insights

Objectives Thalictrum punduanum (locally known as Baduri) has traditionally been used in Nepal as a root decoction to combat cancer. This study aimed to investigate the anticancer mechanisms of T. punduanum root extract against breast and colorectal cancers using integrated network pharmacology and experimental approac...

R. Yadav, Prajesh Shrestha, P. Jha et al. · 0 citations
Open access Jul 2026

Molecular Docking and Virtual Screening of Tetracera macrophylla Leaf Phytoconstituents Targeting Anticancer Therapy Development

A polar compound-based methanol extract of T. macrophylla leaves is prepared and identified, targeting breast cancer and melanoma, providing a strong foundation for further research into the development of novel anticancer drugs derived from T. macrophylla leaves.

Taslima Begum, Muhammad Rahim, S. A. A. Shah et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.