Predicting Binding Between Main Molecules of Iranian Oliveria decumbens and DPP-4 Enzyme Using Molecular Docking

Salim Bouchentouf1,2* and Ebrahim Talebi3
1Faculty of Technology, Doctor Tahar Moulay University of Saïda, Algeria.
2Laboratory of Natural Products and Bioactives (LASNABIO), Algeria.
3Darab Branch, Islamic Azad University, Darab, Fars, Iran.

Corresponding Author: [email protected]; Tel: +213 557 974 407
Recieved Date: January 09, 2018; Accepted Date: January 22, 2018; Published Date: 08 February 2018
Citation: Bouchentouf S and Talebi E. Predicting Binding Between Main Molecules of Iranian Oliveria decumbens and DPP-4 Enzyme Using Molecular Docking. Trop J Nat Prod Res. 2018; 2(2):103-105.  https://doi.org//10.26538/tjnpr/v2i2.9
Copyright: © 2018 Bouchentouf and Talebi. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
ABSTRACT

Type 2 Diabetes (T2D) is an endocrine disease affecting millions of humans around the world, causing many damages to human health. Many drugs are used for the treatment of T2D, but they have many secondary effects. Natural products, especially from plants, can be sources of important bioactive molecules which can serve as an alternative to T2D treatment. Constituent molecules of essential oil from Iranian Oliveria decumbens were investigated for their capacity to inhibit Dipeptidyl-Peptidase 4 (DPP-4) enzyme which has been implicated in type 2 diabetes. Formation of stable complexes between enzyme and ligands was carried out using molecular docking. The energy of the complexes formed was also calculated. The compounds with the lowest energy were predicted to have the best binding. The results obtained predicted myristicin to be the best binder of DPP-4 enzyme.

Keywords: Medicinal plant, Oliveria decumbes, DPP-4 enzyme, Molecular docking
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ISSN: 2616-0684 (Print)
ISSN: 2616-0692 (Online)
DOI: 10.26538/tjnpr
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