School of Informatics and Computing, Indiana University, Bloomington, IN, USA.
Bioinformatics. 2012 Nov 15;28(22):2905-13. doi: 10.1093/bioinformatics/bts541. Epub 2012 Sep 4.
A number of studies of individual proteins have shown that post-translational modifications (PTMs) are associated with structural rearrangements of their target proteins. Although such studies provide critical insights into the mechanics behind the dynamic regulation of protein function, they usually feature examples with relatively large conformational changes. However, with the steady growth of Protein Data Bank (PDB) and available PTM sites, it is now possible to more systematically characterize the role of PTMs as conformational switches. In this study, we ask (1) what is the expected extent of structural change upon PTM, (2) how often are those changes in fact substantial, (3) whether the structural impact is spatially localized or global and (4) whether different PTMs have different signatures.
We exploit redundancy in PDB and, using root-mean-square deviation, study the conformational heterogeneity of groups of protein structures corresponding to identical sequences in their unmodified and modified forms. We primarily focus on the two most abundant PTMs in PDB, glycosylation and phosphorylation, but show that acetylation and methylation have similar tendencies. Our results provide evidence that PTMs induce conformational changes at both local and global level. However, the proportion of large changes is unexpectedly small; only 7% of glycosylated and 13% of phosphorylated proteins undergo global changes >2 Å. Further analysis suggests that phosphorylation stabilizes protein structure by reducing global conformational heterogeneity by 25%. Overall, these results suggest a subtle but common role of allostery in the mechanisms through which PTMs affect regulatory and signaling pathways.
Supplementary data are available at Bioinformatics online.
多项针对单个蛋白质的研究表明,翻译后修饰(PTM)与其靶蛋白的结构重排相关。尽管此类研究为蛋白质功能动态调节背后的机制提供了关键见解,但它们通常以具有相对较大构象变化的例子为特征。然而,随着蛋白质数据库(PDB)和可用PTM位点的稳步增长,现在有可能更系统地描述PTM作为构象开关的作用。在本研究中,我们提出以下问题:(1)PTM后结构变化的预期程度是多少?(2)这些变化实际上有多大比例是显著的?(3)结构影响是在空间上局部的还是全局的?(4)不同的PTM是否有不同的特征?
我们利用PDB中的冗余信息,并使用均方根偏差,研究未修饰和修饰形式下对应相同序列的蛋白质结构组的构象异质性。我们主要关注PDB中两种最丰富的PTM,即糖基化和磷酸化,但表明乙酰化和甲基化也有类似趋势。我们的结果提供了证据,表明PTM在局部和全局水平上均会诱导构象变化。然而,大变化的比例出乎意料地小;只有7%的糖基化蛋白和13%的磷酸化蛋白经历了大于2 Å的全局变化。进一步分析表明,磷酸化通过将全局构象异质性降低25%来稳定蛋白质结构。总体而言,这些结果表明变构在PTM影响调节和信号通路的机制中起着微妙但普遍的作用。
补充数据可在《生物信息学》在线获取。