Abstract: 
Obesity refers to the accumulation of abnormal or unnecessary fat in the human body, resulting in a health risk. The goal and objective of this study is to conduct an in-silico docking analysis of the HMG-CoA reductase and enzyme target for antihyperlipidemic activity of the medicinal plant Malvastrum Coromandelianum. The phytoconstituents of the medicinal plants have been collected from the chemical database pubchem. 3-hydroxy-3-methylglutaryl-coenzyme A is the target for the docking analysis (HMG CoA reductase). The 3D protein structure of the enzyme HMG-CoA Reductase is derived from the [PDB ID: 3CCT] Protein Data Bank. The study of in-silico docking was performed using Molegro virtual docker (MVD). Silico docking studies have taken the place of the new version of GLIDE Software v5.5, built by Schrödinger. These findings showed that the binding energy in all active components ranged from -4.5 to -9.2 kcal/mol. If compared to the standard (-9.8 kcal/mol). Due to their structural parameters, the inhibitors of HMG-CoA reductase are excellent, as are palmitic acid and palmitoleic acid. It was found that, as opposed to the standard drugs, the investigated phytoconstituents showed potent inhibiting activity as the MolDock score directly represents possible binding to the enzyme. The studied phytoconstituents show promise as antihyperlipidaemic leads and justify antiobesity claims of their source plants Malvastrum Coromandelianum.

Keywords: Malvastrum Coromandelianum, In-silico docking, Phytoconstituents, HMG-CoA reductase.