Department of Biochemistry, Wake Forest University Health Sciences, Medical Center Blvd., Winston-Salem, North Carolina 27157, USA.
Proteins. 2011 Mar;79(3):947-64. doi: 10.1002/prot.22936. Epub 2010 Dec 22.
Peroxiredoxins (Prxs) are a widespread and highly expressed family of cysteine-based peroxidases that react very rapidly with H₂O₂, organic peroxides, and peroxynitrite. Correct subfamily classification has been problematic because Prx subfamilies are frequently not correlated with phylogenetic distribution and diverge in their preferred reductant, oligomerization state, and tendency toward overoxidation. We have developed a method that uses the Deacon Active Site Profiler (DASP) tool to extract functional-site profiles from structurally characterized proteins to computationally define subfamilies and to identify new Prx subfamily members from GenBank(nr). For the 58 literature-defined Prx test proteins, 57 were correctly assigned, and none were assigned to the incorrect subfamily. The >3500 putative Prx sequences identified were then used to analyze residue conservation in the active site of each Prx subfamily. Our results indicate that the existence and location of the resolving cysteine vary in some subfamilies (e.g., Prx5) to a greater degree than previously appreciated and that interactions at the A interface (common to Prx5, Tpx, and higher order AhpC/Prx1 structures) are important for stabilization of the correct active-site geometry. Interestingly, this method also allows us to further divide the AhpC/Prx1 into four groups that are correlated with functional characteristics. The DASP method provides more accurate subfamily classification than PSI-BLAST for members of the Prx family and can now readily be applied to other large protein families.
过氧化物酶(Prxs)是一类广泛存在且高度表达的含半胱氨酸的过氧化物酶,能够快速与 H₂O₂、有机过氧化物和过氧亚硝酸盐反应。正确的亚家族分类一直存在问题,因为 Prx 亚家族通常与系统发育分布无关,而且在其偏好的还原剂、寡聚状态和过度氧化倾向方面存在差异。我们开发了一种方法,该方法使用 Deacon 活性位点分析器(DASP)工具从结构上表征的蛋白质中提取功能位点图谱,从而通过计算来定义亚家族,并从 GenBank(nr)中识别新的 Prx 亚家族成员。对于 58 个文献定义的 Prx 测试蛋白,有 57 个被正确分配,没有一个被分配到错误的亚家族。然后,我们使用 >3500 个假定的 Prx 序列来分析每个 Prx 亚家族活性位点中的残基保守性。我们的结果表明,在一些亚家族(例如 Prx5)中,分辨半胱氨酸的存在和位置的变化程度比以前认为的要大,并且 A 界面(Prx5、Tpx 和更高阶的 AhpC/Prx1 结构共有)的相互作用对于正确的活性位点几何形状的稳定非常重要。有趣的是,这种方法还使我们能够进一步将 AhpC/Prx1 分为与功能特征相关的四个组。DASP 方法比 PSI-BLAST 更能准确地对 Prx 家族成员进行亚家族分类,并且现在可以很容易地应用于其他大型蛋白质家族。