Open AccessSOLATION, CHARACTERIZATION, AND DOCKING STUDIES OF ISOLATED COMPOUNDS AS ANTIDIABETIC MOLECULES FROM CRESSA CRETICA
Author(s) -
Sangeeta Rani,
Kavita Gahlot,
Arvind Kumar
Publication year - 2020
Publication title -
asian journal of pharmaceutical and clinical research
Language(s) - English
Resource type - Journals
eISSN - 2455-3891
pISSN - 0974-2441
DOI - 10.22159/ajpcr.2020.v13i4.36836
Subject(s) - autodock , protein data bank (rcsb pdb) , docking (animal) , phytochemical , chemistry , protein data bank , stereochemistry , hydrogen bond , molecule , biochemistry , organic chemistry , protein structure , in silico , medicine , nursing , gene
Objective: The purpose of this study was to investigate the diabetic effect of phytocompounds isolated from Cressa cretica Linn. using spectroscopic analysis and molecular docking studies.
Methods: Coarse powder of the whole plant of C. cretica was extracted with methanol, extracted part was subjected to silica column isolation, and two compounds: 2-Isopropyl-4-(1-methyl-dodeca-2,4-dienyloxy)-benzene-1,3,5-triol (Compound CN-01) and 11-Methyl-dodeca-2,4,6,8,10-pentenoic acid 2,3-dihydroxy-5-methyl-phenyl ester (Compound CN-02) were isolated in pure form. The three-dimensional structure of target protein was downloaded from PDB (www.rcsb.org) Protein Data Bank, Ligand file CN – 01 and CN – 02 were converted to MDL Molfile (V2000) format using ChemSketch 2017.2.1. These files could not be used directly in AutoDock 4.0 tools; thus, they were first converted to PDB files using an open babel tool.
Results: Compounds were revealed through spectroscopic analysis and screened using AutoDock 4.0 tools. Docking study recommended that CN – 01 and CN – 02 an existing phytochemical from the plant of C. cretica had the highest fitness docking score and hence could be a potent antidiabetic drug.
Conclusion: In this investigation, we docked the receptor (glycogen phosphorylase protein) holds a promising lead target formation against diabetes based on molecular docking analysis (minimum hydrogen bond length and maximum docked score). Thus, these compounds can be effectively used as drugs for treating diabetes which is predicted on the basis of docking scores.