Li Yan, Zhou Bingcheng, Wang Renxiao
State Key Laboratory of Bioorganic Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, 345 Lingling Road, Shanghai 200032, PR China.
J Mol Graph Model. 2009 Oct;28(3):203-19. doi: 10.1016/j.jmgm.2009.07.001. Epub 2009 Aug 4.
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.
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。