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Combining Virtual Screening, Molecular Docking and Simulation studies towards the discovery of β-secretase (BACE) inhibitors

机译:将虚拟筛选,分子对接和模拟研究相结合,以发现β-分泌酶(BACE)抑制剂

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β-secretase (BACE) is an enzyme that is encoded by BACE1 gene. It is also known as beta-site amyloid precursor protein cleaving enzyme. The BACE enzyme is mainly associated with the filamentous aggregation of amyloid, leads in the formation of plagues in Alzheimer's disease. The present study is conducted to explore phytochemicals constituents of North East India particularly Bacopa monneiri, Galanthus woronowii, Ginkgo bibola, Narcissus leonensis, Piper nigrum and Emblica officinalis known to possess anti-alzheimer properties. The compounds of these 6 plants were retrieved from publically available databases PubChem, ChEBI and ZINC database. The compounds were further forwarded for virtual screening followed by molecular docking and molecular dynamics simulation studies. Out of 500 phytochemical constituents only 4 of the compounds passed Lipinski's and drug-likeliness rule. The detailed insight of binding mechanism revealed out of virtually screened compounds Butyl-methoxy-methyl-BLAHol, 5,6-dimethyl-2-(4-piperidinylmethyl)-1-indanone hydrochloride, Epinorlycoramine and Sanguinine compounds showed that Epinorlycoramine has the highest binding energy of 8.2 Kcal/mol against the receptor BACE. The compound was later forwarded for molecular dynamic simulation for 500 ns. The simulation revealed the stability of the compounds within the receptor. Thus the compound reported in the present study may be forwarded for experimental validation and clinical studies as potent anti-alzheimer.
机译:β-分泌酶(BACE)是一种由BACE1基因编码的酶。它也被称为β-位淀粉样蛋白前体蛋白裂解酶。 BACE酶主要与淀粉样蛋白的丝状聚集有关,导致阿尔茨海默氏病中鼠疫的形成。进行本研究的目的是探讨印度东北部的植物化学成分,特别是已知具有抗阿尔茨海默氏病特性的印度乳杆菌,山核桃,银杏,水仙,胡椒和余甘。从公共数据库PubChem,ChEBI和ZINC数据库检索这6种植物的化合物。进一步将这些化合物用于虚拟筛选,然后进行分子对接和分子动力学模拟研究。在500种植物化学成分中,只有4种化合物通过了Lipinski氏和类药物规则。对结合机理的详细了解揭示了从实际上筛选出的化合物中,丁基-甲氧基-甲基-BLAHol,5,6-二甲基-2-(4-哌啶基甲基)-1-茚满酮盐酸盐,表泛烯醇胺和血红素化合物表明,表泛烯醇胺具有最高的结合力受体BACE的能量为8.2 Kcal / mol。随后将该化合物转发给分子动力学仿真500 ns。模拟揭示了化合物在受体内的稳定性。因此,本研究中报道的化合物可作为有效的抗老年痴呆症转入实验验证和临床研究。

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