Molecular modeling on the identification of potential Janus Kinase 3 (JAK3) inhibitor based on the Indonesian Medicinal Plant Database
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...
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doaj-7462f02729214226a99c41c422beaf192021-03-18T04:20:55ZengITB Journal PublisherJournal of Mathematical and Fundamental Sciences2337-57602338-55102020-12-0152310.5614/j.math.fund.sci.2020.52.3.2Molecular modeling on the identification of potential Janus Kinase 3 (JAK3) inhibitor based on the Indonesian Medicinal Plant DatabaseMuhammad Arba0Sanang Nur Safitri1Andry Nur Hidayat2Arry Yanuar3Muhammad Sulaiman Zubair4Asmiyenti Djaliasrin Djalil5Daryono Hadi Tjahjono6Faculty of Pharmacy, Universitas Halu Oleo, Kendari 93231Faculty of Pharmacy, Universitas Halu Oleo, Kendari 93231Faculty of Pharmacy, Universitas Halu Oleo, Kendari 93231Faculty of Pharmacy, Universitas Indonesia, Depok 16424Department of Pharmacy, Tadulako University, PaluFaculty of Pharmacy, Universitas Muhammadiyah Purwokerto, Purwokerto5School of Pharmacy, Institut Teknologi Bandung, Jalan Ganesha 10, Bandung 40132The 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. https://journals.itb.ac.id/index.php/jmfs/article/view/12588Janus kinaseMM-PBSAmolecular dynamics simulationpharmacophore modelingvirtual screening |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Muhammad Arba Sanang Nur Safitri Andry Nur Hidayat Arry Yanuar Muhammad Sulaiman Zubair Asmiyenti Djaliasrin Djalil Daryono Hadi Tjahjono |
spellingShingle |
Muhammad Arba Sanang Nur Safitri Andry Nur Hidayat Arry Yanuar Muhammad Sulaiman Zubair Asmiyenti Djaliasrin Djalil Daryono Hadi Tjahjono Molecular modeling on the identification of potential Janus Kinase 3 (JAK3) inhibitor based on the Indonesian Medicinal Plant Database Journal of Mathematical and Fundamental Sciences Janus kinase MM-PBSA molecular dynamics simulation pharmacophore modeling virtual screening |
author_facet |
Muhammad Arba Sanang Nur Safitri Andry Nur Hidayat Arry Yanuar Muhammad Sulaiman Zubair Asmiyenti Djaliasrin Djalil Daryono Hadi Tjahjono |
author_sort |
Muhammad Arba |
title |
Molecular modeling on the identification of potential Janus Kinase 3 (JAK3) inhibitor based on the Indonesian Medicinal Plant Database |
title_short |
Molecular modeling on the identification of potential Janus Kinase 3 (JAK3) inhibitor based on the Indonesian Medicinal Plant Database |
title_full |
Molecular modeling on the identification of potential Janus Kinase 3 (JAK3) inhibitor based on the Indonesian Medicinal Plant Database |
title_fullStr |
Molecular modeling on the identification of potential Janus Kinase 3 (JAK3) inhibitor based on the Indonesian Medicinal Plant Database |
title_full_unstemmed |
Molecular modeling on the identification of potential Janus Kinase 3 (JAK3) inhibitor based on the Indonesian Medicinal Plant Database |
title_sort |
molecular modeling on the identification of potential janus kinase 3 (jak3) inhibitor based on the indonesian medicinal plant database |
publisher |
ITB Journal Publisher |
series |
Journal of Mathematical and Fundamental Sciences |
issn |
2337-5760 2338-5510 |
publishDate |
2020-12-01 |
description |
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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topic |
Janus kinase MM-PBSA molecular dynamics simulation pharmacophore modeling virtual screening |
url |
https://journals.itb.ac.id/index.php/jmfs/article/view/12588 |
work_keys_str_mv |
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