Molecular Docking and In Silico ADMET Study Reveals Acylguanidine 7a as a Potential Inhibitor of β-Secretase.

Q1 Biochemistry, Genetics and Molecular Biology
Advances in Bioinformatics Pub Date : 2016-01-01 Epub Date: 2016-04-10 DOI:10.1155/2016/9258578
Chaluveelaveedu Murleedharan Nisha, Ashwini Kumar, Prateek Nair, Nityasha Gupta, Chitrangda Silakari, Timir Tripathi, Awanish Kumar
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引用次数: 97

Abstract

Amyloidogenic pathway in Alzheimer's disease (AD) involves breakdown of APP by β-secretase followed by γ-secretase and results in formation of amyloid beta plaque. β-secretase has been a promising target for developing novel anti-Alzheimer drugs. To test different molecules for this purpose, test ligands like acylguanidine 7a, rosiglitazone, pioglitazone, and tartaric acid were docked against our target protein β-secretase enzyme retrieved from Protein Data Bank, considering MK-8931 (phase III trial, Merck) as the positive control. Docking revealed that, with respect to their free binding energy, acylguanidine 7a has the lowest binding energy followed by MK-8931 and pioglitazone and binds significantly to β-secretase. In silico ADMET predictions revealed that except tartaric acid all other compounds had minimal toxic effects and had good absorption as well as solubility characteristics. These compounds may serve as potential lead compound for developing new anti-Alzheimer drug.

Abstract Image

Abstract Image

Abstract Image

分子对接和硅ADMET研究揭示酰基胍7a是β-分泌酶的潜在抑制剂。
阿尔茨海默病(AD)的淀粉样蛋白生成途径涉及β-分泌酶随后γ-分泌酶对APP的分解,并导致β淀粉样蛋白斑块的形成。β-分泌酶已成为开发新型抗阿尔茨海默病药物的重要靶点。为了测试不同的分子,我们将测试配体如酰基胍7a、罗格列酮、吡格列酮和酒石酸与我们从蛋白质数据库中检索的靶蛋白β-分泌酶对接,以MK-8931(默克公司III期试验)为阳性对照。对接发现,从自由结合能来看,酰基胍7a的结合能最低,其次是MK-8931和吡格列酮,与β-分泌酶结合显著。在硅ADMET预测显示,除酒石酸外,所有其他化合物的毒性作用最小,具有良好的吸收和溶解特性。这些化合物可作为开发抗阿尔茨海默病新药的潜在先导化合物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Advances in Bioinformatics
Advances in Bioinformatics Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (miscellaneous)
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