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Dataset Information

Gene ontology enrichment analysis of PPAR-γ modulators from Cassia glauca in diabetes mellitus.


ABSTRACT:

Background

PPAR-γ has an integrative role in the management of insulin resistance; ligands of this receptor have emerged as potent insulin sensitizers and may modulate proteins involved in the pathogenesis of diabetes mellitus. Hence the present study is aimed to identify PPAR-γ modulators from the plant Cassia glauca and predict the ontology enrichment analysis utilizing various in-silico tools.

Methods

ChEBI database was used to mine the phytoconstituents present in the plant C. glauca, SwissTargetPrediction database was used to identify the targets, and scrutinizing of phytoconstituents modulating PPAR-γ was performed. Autodock4.0 was used to dock phytoconstituent ligands with the target PPAR-γ. Multiple open-source databases and in-silico tools were utilize

SUBMITTER: Ternikar SG 

PROVIDER: S-EPMC8630302 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature