Journal of Mathematical and Fundamental Sciences
Vol. 52 No. 3 (2020)

Molecular modeling on the identification of potential Janus Kinase 3 (JAK3) inhibitor based on the Indonesian Medicinal Plant Database

Muhammad Arba (Faculty of Pharmacy, Universitas Halu Oleo, Kendari 93231)
Sanang Nur Safitri (Faculty of Pharmacy, Universitas Halu Oleo, Kendari 93231)
Andry Nur Hidayat (Faculty of Pharmacy, Universitas Halu Oleo, Kendari 93231)
Arry Yanuar (Faculty of Pharmacy, Universitas Indonesia, Depok 16424)
Muhammad Sulaiman Zubair (Department of Pharmacy, Tadulako University, Palu)
Asmiyenti Djaliasrin Djalil (Faculty of Pharmacy, Universitas Muhammadiyah Purwokerto, Purwokerto)
Daryono Hadi Tjahjono (5School of Pharmacy, Institut Teknologi Bandung, Jalan Ganesha 10, Bandung 40132)



Article Info

Publish Date
31 Dec 2020

Abstract

The Janus tyrosine kinases (JAKs) have shown great promise as therapeutic protein targets in the treatment of cancer and inflammation diseases. This study used pharmacophore modeling to identify potential inhibitors of Janus kinase 3 (JAK3). A pharmacophore model was developed based on a known JAK3 inhibitor (1NX) and was employed to search for potential JAK3 inhibitors against Indonesian herbal compounds. Among 28 hit molecules that were identified and subjected to a molecular docking protocol against JAK3, the three compounds that had the highest affinities toward JAK3 were camelliaside B, 3-O-galloylepicatechin-(4beta-6)-epicatechin-3-O-gallate, and mesuaferrone B. These were then each subjected to a 50-ns molecular dynamics (MD) simulation. Analysis of RMSD and RMSF values indicated that the three compounds reached stability during the MD simulation. Interestingly, all three compounds had lower binding energies than 1NX against JAK3, as predicted by the MM-PBSA binding energy calculation.

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Journal Info

Abbrev

jmfs

Publisher

Subject

Astronomy Chemistry Earth & Planetary Sciences Mathematics Physics

Description

Journal of Mathematical and Fundamental Sciences welcomes full research articles in the area of Mathematics and Natural Sciences from the following subject areas: Astronomy, Chemistry, Earth Sciences (Geodesy, Geology, Geophysics, Oceanography, Meteorology), Life Sciences (Agriculture, Biochemistry, ...