Multi-Targeted Prediction of the Antiviral Effect of Momordica charantia extract based on Network Pharmacology

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Authors

  • Soma Das
     Department of Pharmaceutical Sciences, School of Medical Sciences, Adamas University, BarasatBarrackpore Road, Kolkata - 700126, West Bengal ,IN ORCID logo https://orcid.org/0000-0002-7146-7869
  • Rahul Laxman Gajbhiye
     National Institute of Pharmaceutical Education and Research (NIPER), Hajipur, Export Promotion Industrial Park (EPIP) Zandaha Road, NH322, Hajipur - 844102, Bihar ,IN ORCID logo https://orcid.org/0000-0003-0490-1423
  • Nitesh Kumar
     National Institute of Pharmaceutical Education and Research (NIPER), Hajipur, Export Promotion Industrial Park (EPIP) Zandaha Road, NH322, Hajipur - 844102, Bihar ,IN ORCID logo https://orcid.org/0000-0002-4929-3954
  • Dhrubajyoti Sarkar
     Faculty of Pharmaceutical Science, Assam Down Town University, Sankar Madhav Path, Gandhinagar, Panikhaiti, Guwahati - 781026, Assam ,IN ORCID logo https://orcid.org/0000-0001-5754-2167

DOI:

https://doi.org/10.18311/jnr/2023/31430

Keywords:

Antiviral, Hub Genes, LC-MS, Momordica charantia, Network Pharmacology, Pathway Analysis.

Abstract

The fruits of Momordica charantia (Bitter Gourd) are well known for centuries as a natural remedy for the treatment of various ailments. In this study, we aimed to explore the metabolites present in both varieties of small and big bitter gourds and to explore the multitarget mechanism of M. charantia in antiviral infection by utilizing network pharmacology. The study design involves the identification of the compounds in both varieties of the bitter gourd by Agilent QTOFLC-MS/MS system, followed by screening for ADME to analyze the possible mechanism of action, disease association, protein-protein interactions and major pathways involved therein.  Several Databases used were IMPAT, BindingDB, Swiss Target Prediction, STRING, DAVID, and KEGG databases, and algorithms were used to gather information. To visualize the network, Cytoscape 3.2.1 was used. As a result, a total of 22 and 27 compounds were detected from small and big bitter gourds respectively. . The molecules from M.charantia provide an antiviral response through the involvement of pathways like toll-like receptor pathway, PI3/AKT pathway, NF-kappa B signalling pathway, and cytokine-cytokine receptor interaction. Moreover, the core target genes termed ‘Hub Genes” were also identified through Cyto-hubba. The main mechanisms of M. charantia were acquired by investigating the enrichment of each cluster through functional association clustering analysis. Our results exposed the mechanism of M. charantia against viral infection by multi-component, multi-target, and multi-pathway study combinations.

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Author Biography

Soma Das, Department of Pharmaceutical Sciences, School of Medical Sciences, Adamas University, BarasatBarrackpore Road, Kolkata - 700126, West Bengal

Assistant Professor

Department of Pharmaceutical Technology

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Published

2023-03-23

How to Cite

Das, S., Laxman Gajbhiye, R., Kumar, N., & Sarkar, D. (2023). Multi-Targeted Prediction of the Antiviral Effect of <i>Momordica charantia</i> extract based on Network Pharmacology. Journal of Natural Remedies, 23(1), 169–183. https://doi.org/10.18311/jnr/2023/31430

Issue

Volume 23, Issue 1, January 2023

Section

Research Articles

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Copyright (c) 2023 Soma Das, Rahul Gajbhiye , Nitesh Kumar, Dhrubajyoti Sarkar (Author)

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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Europe PMC
Received 2022-10-12
Accepted 2023-01-09
Published 2023-03-23

 

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