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首页> 外文期刊>Journal of Mathematical and Fundamental Sciences >Molecular modeling on the identification of potential Janus Kinase 3 (JAK3) inhibitor based on the Indonesian Medicinal Plant Database
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Molecular modeling on the identification of potential Janus Kinase 3 (JAK3) inhibitor based on the Indonesian Medicinal Plant Database

机译:基于印度尼西亚药用植物数据库的潜在Janus激酶3(JAK3)抑制剂的识别分子建模

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摘要

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.
机译:Janus酪氨酸激酶(Jaks)在治疗癌症和炎症疾病的治疗中表现出了很大的希望。该研究使用药物频体建模来鉴定Janus激酶3的潜在抑制剂(JAK3)。基于已知的JAK3抑制剂(1NX)开发了药疗法模型,并用于搜索针对印度尼西亚草药化合物的潜在的JAK3抑制剂。在针对JAK3鉴定并进行分子对接方案的28个击中分子中,朝向JAK3具有最高亲和力的三种化合物是Cahelliaside B,3-O-GalloylepicaTechin-(4beta-6)-picateChin-3-O-gallate然后和Mesuaferrone B.然后各自对其进行50ns的分子动力学(MD)模拟。 RMSD和RMSF值的分析表明,在MD模拟期间,三种化合物达到了稳定性。有趣的是,所有三种化合物的结合能量低于jak3的1Nx,如MM-PBSA结合能量计算所预测的。

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