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All Journal Jurnal Ilmu Dasar
Finas Rahmayanti
Undergraduate Student, Faculty of Pharmacy, University of Jember
Control & Systems Engineering Mathematics

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Journal : Jurnal Ilmu Dasar

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The Binding Prediction of 6-Paradol and its Derivatives on TRPV1 Agonist as a New Compound for Treating Painful Diabetic Neuropathy Finas Rahmayanti; Dwi Koko Pratoko; Fifteen Aprila Fajrin
Jurnal ILMU DASAR Vol 23 No 2 (2022)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jid.v23i2.23030

Abstract

Ginger was reported to have a suppressive effect on pain in patients with Painful Diabetic Neuropathy (PDN). Our latest study revealed that 6-shogaol, one of the ginger components, had the best affinity in the Transient Receptor Potential Vanilloid 1 (TRPV1), a key receptor in PDN). Paradol, which obtained from gingerol and shogaol metabolism, also had potent activities in several diseases, compared to the other derivatives of gingerol and shogaol. However, shogaol and paradol is very similar in chemical structure with only different in one double bond in 4-5 position. Until now there is no explanation about paradol mechanism in TRPV1. Based on this, our study was designed to predict the activity of 6-paradol and its derivatives to TRPV1 as target receptor in PDN using in-silico model. 2-paradol, 4-paradol, 6-paradol, 8-paradol and 10-paradol were used as ligands. Capsaisin, the agonist of TRPV1, was used as a native ligand in this study. TRPV1 was obtained from protein data bank (PDB). Ligand bond prediction and affinity was performed using Molegro Virtual Docker. The results showed 2-paradol, 4-paradol, 6-paradol, 8-paradol and 10-paradol had good affinity against TRPV1. These result indicated that 6-paradol and the derivatives had potential as a drug compound for PDN therapy.
Co-Authors Fifteen Aprila Fajrin