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针对神经氨酸酶亚型1开放构象的达菲衍生物的合理设计。

Rational design of Tamiflu derivatives targeting at the open conformation of neuraminidase subtype 1.

作者信息

Li Yan, Zhou Bingcheng, Wang Renxiao

机构信息

State Key Laboratory of Bioorganic Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, 345 Lingling Road, Shanghai 200032, PR China.

出版信息

J Mol Graph Model. 2009 Oct;28(3):203-19. doi: 10.1016/j.jmgm.2009.07.001. Epub 2009 Aug 4.

DOI:10.1016/j.jmgm.2009.07.001
PMID:19656699
Abstract

Neuraminidase is an attractive therapeutic target for standing against influenza virus, such as the threatening avian influenza virus H5N1. A recently discovered cavity near the well-known catalytic site on neuraminidase subtype 1 (N1) provides a good possibility to develop dual-site-binding inhibitors, which may achieve improved activities and selectivities against N1. We have designed some derivatives of Tamiflu with such features through a fragment-based approach combining multiple computational methods. Over 1000 FDA-approved small-molecule drugs were computationally screened targeting at the open conformation of N1 with the GOLD program in combination with the X-Score scoring function. Some chemical fragments on the top-scored hits, which were able to fit into the 150-cavity, were transplanted onto the core structure of Tamiflu to produce a total of 30 new molecules. Then, binding of these designed molecules to N1 was evaluated by molecule docking. The promising ones were further subjected to molecular dynamics simulation of 3 ns long, and their binding free energies were computed by using the MM-PB/SA method. Some of our designed molecules were predicted to have comparable or even better binding affinities than that of Tamiflu. We report our results herein so that other researchers who have the necessary chemical and biological resources can utilize them in the development of new N1 inhibitors. In addition, our study actually suggests a practical strategy for optimizing a given lead compound based on the outcomes of a standard virtual screening trial.

摘要

神经氨酸酶是对抗流感病毒(如具有威胁性的禽流感病毒H5N1)的一个有吸引力的治疗靶点。最近在神经氨酸酶亚型1(N1)上著名的催化位点附近发现的一个腔为开发双位点结合抑制剂提供了很好的可能性,这种抑制剂可能对N1具有更高的活性和选择性。我们通过结合多种计算方法的基于片段的方法设计了一些具有此类特征的达菲衍生物。使用GOLD程序结合X-Score评分函数,对1000多种FDA批准的小分子药物进行了针对N1开放构象的计算筛选。将得分最高的命中物上能够适配到150腔的一些化学片段移植到达菲的核心结构上,共产生了30个新分子。然后,通过分子对接评估这些设计分子与N1的结合情况。对有前景的分子进一步进行了3纳秒长的分子动力学模拟,并使用MM-PB/SA方法计算了它们的结合自由能。我们设计的一些分子预计具有与达菲相当甚至更好的结合亲和力。我们在此报告我们的结果,以便有必要化学和生物资源的其他研究人员能够在开发新型N1抑制剂时利用这些结果。此外我们的研究实际上提出了一种基于标准虚拟筛选试验结果优化给定先导化合物的实用策略。

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Rational design of Tamiflu derivatives targeting at the open conformation of neuraminidase subtype 1.针对神经氨酸酶亚型1开放构象的达菲衍生物的合理设计。
J Mol Graph Model. 2009 Oct;28(3):203-19. doi: 10.1016/j.jmgm.2009.07.001. Epub 2009 Aug 4.
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Binding interaction analysis of the active site and its inhibitors for neuraminidase (N1 subtype) of human influenza virus by the integration of molecular docking, FMO calculation and 3D-QSAR CoMFA modeling.通过分子对接、FMO计算和3D-QSAR CoMFA建模相结合的方法对人流感病毒神经氨酸酶(N1亚型)活性位点及其抑制剂进行结合相互作用分析。
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引用本文的文献

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Identification of neuraminidase inhibitors against dual H274Y/I222R mutant strains.鉴定抗 H274Y/I222R 双突变株的神经氨酸酶抑制剂。
Sci Rep. 2017 Sep 26;7(1):12336. doi: 10.1038/s41598-017-12101-3.
2
The influence of 150-cavity binders on the dynamics of influenza A neuraminidases as revealed by molecular dynamics simulations and combined clustering.分子动力学模拟和组合聚类揭示 150 腔结合物对流感 A 神经氨酸酶动力学的影响。
PLoS One. 2013;8(3):e59873. doi: 10.1371/journal.pone.0059873. Epub 2013 Mar 27.
3
Recent progress in structure-based anti-influenza drug design.
基于结构的抗流感药物设计的最新进展。
Drug Discov Today. 2012 Oct;17(19-20):1111-20. doi: 10.1016/j.drudis.2012.06.002. Epub 2012 Jun 13.