ISSN: 2320-480X
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The Journal of Phytopharmacology, 2020;9(2):76-82 DOI:10.31254/phyto.2020.9201

Research Article

Network pharmacology of Luffa cylindrica with targets related to obesity

D’ Silva Wilnoska W1 , PR Biradar1 , Patil Ashwini M1

1. Department of Pharmacology and Toxicology, KLE College of Pharmacy, Belagavi, KLE Academy of Higher Education and Research (KAHER), Belagavi 590010, India

*Author to whom correspondence should be addressed.

Received: 6th March, 2020 / Accepted: 31st March, 2020

Abstract


With obesity being one of the causing factors of Metabolic Syndrome, this study was undertaken to pinpoint the phytoconstituents from Luffa cylindrica that can be utilized to regulate proteins associated with obesity. With eighteen such phytoconstituents being identified in Luffa cylindrica, detailed investigations were carried out on each of these compounds. The parameters of these investigations were drug likeness score and ADMET score comprising distribution, absorption, excretion, metabolism and toxicity profile. Of all the compounds, Rutin proved to have the highest drug likeness score. Simultaneously, docking studies and gene set enrichment analysis were also conducted on the phytoconstituents. While the docking studies were undertaken to establish their binding affinity with obesity-related proteins, the gene set enrichment analysis was carried out to find pathways modulated by the phytoconstituents. The docking studies revealed the binding energy of luteolin-7-o-beta-o-glucoronide methyl to be the highest. The gene set enrichment analysis identified a total of twenty-five different pathways that were involved in obesity. Signal transduction and metabolism was identified to score the highest gene count.

Keywords


ADMET, Luffa cylindrica, Network pharmacology, Obesity

HOW TO CITE THIS ARTICLE

D’silva Wilnoska W, PR Biradar, Patil Ashwini M. Network pharmacology of Luffa cylindrica with targets related to obesity. J Phytopharmacol 2020; 9(2):76-82.

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This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY 4.0) license. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. (http://creativecommons.org/licenses/by/4.0/).

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Copyright © 2020 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0.

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