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计算发现细胞色素 bc1 复合物的皮摩尔 Q(o) 位点抑制剂。

Computational discovery of picomolar Q(o) site inhibitors of cytochrome bc1 complex.

机构信息

Key Laboratory of Pesticide & Chemical Biology, Ministry of Education, College of Chemistry, Central China Normal University, Wuhan 430079, P. R. China.

出版信息

J Am Chem Soc. 2012 Jul 11;134(27):11168-76. doi: 10.1021/ja3001908. Epub 2012 Jun 27.

Abstract

A critical challenge to the fragment-based drug discovery (FBDD) is its low-throughput nature due to the necessity of biophysical method-based fragment screening. Herein, a method of pharmacophore-linked fragment virtual screening (PFVS) was successfully developed. Its application yielded the first picomolar-range Q(o) site inhibitors of the cytochrome bc(1) complex, an important membrane protein for drug and fungicide discovery. Compared with the original hit compound 4 (K(i) = 881.80 nM, porcine bc(1)), the most potent compound 4f displayed 20 507-fold improved binding affinity (K(i) = 43.00 pM). Compound 4f was proved to be a noncompetitive inhibitor with respect to the substrate cytochrome c, but a competitive inhibitor with respect to the substrate ubiquinol. Additionally, we determined the crystal structure of compound 4e (K(i) = 83.00 pM) bound to the chicken bc(1) at 2.70 Å resolution, providing a molecular basis for understanding its ultrapotency. To our knowledge, this study is the first application of the FBDD method in the discovery of picomolar inhibitors of a membrane protein. This work demonstrates that the novel PFVS approach is a high-throughput drug discovery method, independent of biophysical screening techniques.

摘要

基于片段的药物发现(FBDD)面临的一个关键挑战是其低通量性质,因为需要基于生物物理方法的片段筛选。在此,成功开发了一种基于药效团连接片段虚拟筛选(PFVS)的方法。该方法的应用产生了细胞色素 bc(1)复合物的第一个皮摩尔范围内的 Q(o) 位点抑制剂,这是药物和杀真菌剂发现的重要膜蛋白。与原始命中化合物 4(K(i) = 881.80 nM,猪 bc(1))相比,最有效的化合物 4f 显示出 20 507 倍的结合亲和力提高(K(i) = 43.00 pM)。化合物 4f 被证明是底物细胞色素 c 的非竞争性抑制剂,但对底物 ubiquinol 是竞争性抑制剂。此外,我们以 2.70 Å 的分辨率确定了与鸡 bc(1)结合的化合物 4e(K(i) = 83.00 pM)的晶体结构,为理解其超强效力提供了分子基础。据我们所知,这项研究是 FBDD 方法在发现皮摩尔级别的膜蛋白抑制剂方面的首次应用。这项工作表明,新的 PFVS 方法是一种高通量药物发现方法,不依赖于生物物理筛选技术。

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