Network pharmacology and molecular modelling study of Enhydra fluctuans for the prediction of the molecular mechanisms involved in the amelioration of nephrolithiasis.
J Biomol Struct Dyn
; 41(24): 15400-15410, 2023.
Article
in En
| MEDLINE
| ID: mdl-36914227
In view of the ethno medicinal use of Enhydra fluctuans for the treatment of kidney stones; the present study aimed to elucidate the molecular mechanisms involved in the amelioration of nephrolithiasis through a network pharmacology approach. The phytoconstituents were queried in DIGEP-Pred to identify the regulated proteins. The modulated proteins were then enriched in the STRING to predict the protein-protein interactions and the probably regulated pathways were traced in the Kyoto Encyclopedia of Genes and Genomes. Further, the network was constructed using Cytoscape ver 3.5.1. Results showed that ß-carotene was found to be regulating maximum targets i.e. 26. In addition, 63 proteins were triggered by the components in which the vitamin D receptor was targeted by the maximum phytoconstituents i.e. 16. The enrichment analysis identified the regulation of 67 pathways in which fluid shear stress and atherosclerosis-associated pathways (KEGG entry hsa05418) regulated ten genes. Further, protein kinase C-α was traced in 23 different pathways. In addition, the majority of the regulated genes were identified from the extracellular space via the modulation of 43 genes. Also, nuclear receptor activity had the maximum molecular function via the regulation of 7 genes. Likewise, the response to organic substance was predicted to trigger the top genes i.e. 43. In contrast, Stigmasterol, Baicalein-7-o-glucoside, and Kauran-16-ol were found to have a high affinity to bind with the VDR receptor confirmed by the molecular modelling and the dynamics. Hence, the study elucidated the probable molecular mechanisms of E. fluctuans in managing nephrolithiasis and identified the lead molecules, their targets, and possible pathways.Communicated by Ramaswamy H. Sarma.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Drugs, Chinese Herbal
/
Asteraceae
/
Nephrolithiasis
Type of study:
Prognostic_studies
/
Risk_factors_studies
Language:
En
Journal:
J Biomol Struct Dyn
Year:
2023
Document type:
Article
Affiliation country:
India
Country of publication:
United kingdom