用PDB代码3G0B验证基于结构的虚拟筛选方案,并预测卷曲Tinospora化合物作为二肽基肽酶IV抑制剂的活性

Q3 Pharmacology, Toxicology and Pharmaceutics Research Results in Pharmacology Pub Date : 2022-03-31 DOI:10.3897/rrpharmacology.8.76237
Andri Prasetiyo, S. Kumala, E. Mumpuni, R. R. Tjandrawinata
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引用次数: 0

摘要

传统上,Brotowali (Tinospora crispa)一直被用作抗糖尿病药物。DPP-IV抑制剂作为抗糖尿病药物会增加胰岛素分泌。它间接增加了肠促胰岛素激素,如胰高血糖素样肽-1 (GLP-1),它依赖于葡萄糖。本研究利用Molegro虚拟Docker (MVD)预测了Brotowali植物中潜在的化合物,如DPP-IV抑制剂。材料和方法:在分子对接模拟之前,需要进行内部验证和外部验证。通过在DPP-IV酶晶体结构(PDB代码3G0B、3W2T和3BJM)中重新对接天然配体进行内部验证。外部验证是通过同时对接A Directory of Useful decoys (DUD)数据库(PDB代码为3G0B)中的59种有效化合物和1918种非活性化合物(诱饵),对16种组合、4种搜索算法和4种功能评分进行验证。结果与讨论:以Brotowali植物中50个化合物与PDB代码为3G0B的阿格列汀为标准化合物进行分子对接模拟。对接方法验证的最佳结果RMSD值为0.43,EF1%值为20.34,EF20%值为3.1(搜索算法Moldock优化器与评分函数Moldock评分相结合)。其中5个化合物(凤仙花苷C、凤仙花苷E、凤仙花苷F、凤仙花苷I和6′- o -乳基凤仙花苷B)的重排序得分为-107.7 kcal/mol;-105.4千卡/摩尔;-104.2千卡/mol和-102.8千卡/mol。阿格列汀(标准配体)的重秩评分为-101.6 kcal/mol。将搜索算法MolDock优化器与评分函数MolDock评分相结合是一种有效的协议,效果良好。与阿格列汀结合位点(Glu 205, Glu 206, Tyr 547)相比,Borapetoside E和6′- o -乳基Borapetoside B的结合位点相似性为75%。结论:基于重排序评分和结合位点的相似性,6′- o -乳酰基Borapetoside E和6′- o -乳酰基Borapetoside B具有作为DPP-IV抑制剂作用机制的潜在降糖药物的潜力。
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Validation of structural-based virtual screening protocols with the PDB Code 3G0B and prediction of the activity of Tinospora crispa compounds as inhibitors of dipeptidyl-peptidase-IV
Introduction: Brotowali (Tinospora crispa) has been traditionally used as an antidiabetic drug. DPP-IV inhibitor as an antidiabetic will increase insulin secretion. It indirectly escalates incretin hormones, such as Glucagon-Like peptide-1 (GLP-1) which depends on glucose. This study predicts potential compounds from the Brotowali plants, such as DPP-IV inhibitors, using the Molegro Virtual Docker (MVD). Materials and methods: Before the molecular docking simulation, internal validation and external validation are necessary. Internal validation was carried out by re-docking the native ligands in the DPP-IV enzyme crystal structure (PDB codes 3G0B, 3W2T, and 3BJM). The external validation was carried out by simultaneous docking of 59 active compounds and 1918 inactive compounds (decoys) from the A Directory of Useful Decoys (DUD) database with PDB code 3G0B on 16 combinations, four search algorithms, and four functions scoring. Results and discussion: The molecular docking simulation was carried out on 50 compounds from the Brotowali plant and alogliptin as standard compounds with PDB code 3G0B. The best results of the docking method validation yielded the RMSD values of 0.43 and EF1% of 20.34 and EF20% of 3.1 (the combination of search algorithm Moldock optimizer and scoring function Moldock score). The re-rank score of 5 compounds from the Brotowali plant (Rumphioside C, Borapetoside E, Borapetoside F, Rumphioside I, and 6’-O-Lactoyl Borapetoside B) were -107.7 kcal/mol; -105.4 kcal/mol; -104.2 kcal/mol, and -102.8 kcal/mol. Alogliptin (standard ligands) had a re-rank score of -101.6 kcal/mol. The combination of search algorithms MolDock optimizer and scoring function MolDock score is a valid protocol with a good result. The similarity of the binding sites of Borapetoside E and 6’-O-Lactoyl Borapetoside B is 75% when compared to the alogliptin binding sites (Glu 205, Glu 206, Tyr 547). Conclusion: Based on the re-rank score and binding sites similarity, Borapetoside E and 6’-O-Lactoyl Borapetoside B have potential as an antidiabetic drug with a mechanism of action of DPP-IV inhibitors.
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Research Results in Pharmacology
Research Results in Pharmacology Medicine-Pharmacology (medical)
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1.50
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32
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12 weeks
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