基于印尼药用植物数据库的Janus Kinase 3 (JAK3)潜在抑制剂鉴定的分子模型

IF 0.5 Q4 MULTIDISCIPLINARY SCIENCES Journal of Mathematical and Fundamental Sciences Pub Date : 2020-12-31 DOI:10.5614/J.MATH.FUND.SCI.2020.52.3.2
M. Arba, S. N. Safitri, A. N. Hidayat, Arry Yanuar, M. Zubair, A. Djalil, D. H. Tjahjono
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引用次数: 0

摘要

Janus酪氨酸激酶(JAKs)作为治疗性蛋白靶点在癌症和炎症疾病的治疗中显示出巨大的前景。本研究使用药效团模型来鉴定Janus kinase 3 (JAK3)的潜在抑制剂。以已知的JAK3抑制剂(1NX)为基础建立药效团模型,用于寻找潜在的JAK3抑制剂。在鉴定的28个命中分子中,对JAK3进行了分子对接,对JAK3亲和力最高的3个化合物是茶花苷B、3- o -没食子表儿茶素-3- o -没食子酸酯和甲亚铁酮B。这些化合物分别进行了50-ns的分子动力学(MD)模拟。RMSD和RMSF值的分析表明,这三种化合物在MD模拟过程中达到了稳定。有趣的是,这三种化合物对JAK3的结合能都比1NX低,这与MM-PBSA结合能计算的结果一致。
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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 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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来源期刊
CiteScore
1.30
自引率
0.00%
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0
审稿时长
24 weeks
期刊介绍: 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, Biology, Health Sciences, Medical Sciences, Pharmacy), Mathematics, Physics, and Statistics. New submissions of mathematics articles starting in January 2020 are required to focus on applied mathematics with real relevance to the field of natural sciences. Authors are invited to submit articles that have not been published previously and are not under consideration elsewhere.
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