GC MS ANALYSIS, IN SILICO & IN VITRO ANTIDIABETIC STUDIES OF CHITRAKA TRIPHALADI KASHAYA CHOORNA

Chitraka Triphaladi Kashaya Choorna is a traditional Ayurvedic formulation used for various therapeutic purposes, including the management of diabetes mellitus.In this study, we aimed to investigate the chemical composition of Chitraka Triphala Kashaya Choorna and evaluate its potential antidiabetic activity using in silico & in vitro methods.A preliminary phytochemical screening and physico-chemical analysis of ethanolic extracts of choorna was done.Antidiabetic study of Chitraka Triphala Kashaya Choorna was done using alpha amylase assay method.A comprehensive chemical profiling of the Chitraka Triphaladi Kashaya Choorna was performed using gas chromatography -mass spectrometry (GC-MS).In silico studies were conducted to assess the antidiabetic potential of ligands obtained from GC-MS screening.Molecular docking studies were performed using AutoDock Vina.V.1.2.7 against various diabetes target proteins, such as insulin receptor, peroxisome proliferator-activated receptor gamma (PPAR-), dipeptidyl peptidase IV Enzyme were selected.D-allose ligand showed the best binding affinity with the selected proteins.The docking studies aimed to predict the binding affinity and interactions between bioactive compounds present in the formulation and the target protein.These predictions offer valuable insights into the potential mechanisms of action and therapeutic effects of Chitraka Triphaladi Kashaya Choorna in managing diabetes.

Publication Details

Journal
International Journal of Biology Pharmacy and Allied Sciences
Published
2025-03-29
DOI
https://doi.org/10.31032/ijbpas/2025/14.4.8902
Primary Topic
Banana Cultivation and Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

GC MS ANALYSIS, IN SILICO & IN VITRO ANTIDIABETIC STUDIES OF CHITRAKA TRIPHALADI KASHAYA CHOORNA

International Journal of Biology Pharmacy and Allied Sciences
Banana Cultivation and Research
article

GC MS ANALYSIS, IN SILICO & IN VITRO ANTIDIABETIC STUDIES OF CHITRAKA TRIPHALADI KASHAYA CHOORNA

article en

Abstract

Chitraka Triphaladi Kashaya Choorna is a traditional Ayurvedic formulation used for various therapeutic purposes, including the management of diabetes mellitus.In this study, we aimed to investigate the chemical composition of Chitraka Triphala Kashaya Choorna and evaluate its potential antidiabetic activity using in silico & in vitro methods.A preliminary phytochemical screening and physico-chemical analysis of ethanolic extracts of choorna was done.Antidiabetic study of Chitraka Triphala Kashaya Choorna was done using alpha amylase assay method.A comprehensive chemical profiling of the Chitraka Triphaladi Kashaya Choorna was performed using gas chromatography -mass spectrometry (GC-MS).In silico studies were conducted to assess the antidiabetic potential of ligands obtained from GC-MS screening.Molecular docking studies were performed using AutoDock Vina.V.1.2.7 against various diabetes target proteins, such as insulin receptor, peroxisome proliferator-activated receptor gamma (PPAR-), dipeptidyl peptidase IV Enzyme were selected.D-allose ligand showed the best binding affinity with the selected proteins.The docking studies aimed to predict the binding affinity and interactions between bioactive compounds present in the formulation and the target protein.These predictions offer valuable insights into the potential mechanisms of action and therapeutic effects of Chitraka Triphaladi Kashaya Choorna in managing diabetes.

International Journal of Biology Pharmacy and Allied SciencesVol. 14(4)
Zero hunger
Openalex Percentile: Top 96%
Banana Cultivation and Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.