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Computational chemistry contribution in study of Terpenoid’s from Rosemary and Salvia on diabetes type 2 treatment

International Journal of Chemical Studies · 2019 · Vol. 7(3) · pp. 122–127

Abstract

Nowadays phytotherapy is important research subject over the world attracting researchers for less use of synthesized drugs because of their secondary effects. In this paper we use molecular modeling and molecular docking as tools for valorization of natural’s plants in medicinal use which permit saving time and money in studying medicinal plants actions. We study anti-diabetic effect of main molecules from Rosemary and Salvia by investigating inhibition process of DPP-4 enzyme using Molecular Operating Environment software. Obtained results show importance of natural molecules from Rosemary and Salvia in diabetes type 2 treatment comparing to synthesized molecules used as drugs that have many secondary undesirables’ effects.

Natural Antidiabetic Agents StudiesCholesterol and Lipid MetabolismComputational Drug Discovery MethodsTerpenoidSalviaTraditional medicineMedicinal plantsSAGEChemistryStereochemistryMedicine
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Computational chemistry contribution in study of Terpenoid’s from Rosemary and Salvia on diabetes type 2 treatment · Scinovex