Department of Chemistry, University of Cambridge, Cambridge, United Kingdom.
Laboratory for Biomolecular Modeling, École Polytechnique Fédérale de Lausanne and Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Mol Biol Evol. 2019 Aug 1;36(8):1728-1733. doi: 10.1093/molbev/msz096.
A recent analysis of evolutionary rates in >500 globular soluble enzymes revealed pervasive conservation gradients toward catalytic residues. By looking at amino acid preference profiles rather than evolutionary rates in the same data set, we quantified the effects of active sites on site-specific constraints for physicochemical traits. We found that conservation gradients respond to constraints for polarity, hydrophobicity, flexibility, rigidity and structure in ways consistent with fold polarity principles; while sites far from active sites seem to experience no physicochemical constraint, rather being highly variable and favoring amino acids of low metabolic cost. Globally, our results highlight that amino acid variation contains finer information about protein structure than usually regarded in evolutionary models, and that this information is retrievable automatically with simple fits. We propose that analyses of the kind presented here incorporated into models of protein evolution should allow for better description of the physical chemistry that underlies molecular evolution.
最近对 >500 种球形可溶性酶的进化率进行的分析显示,向催化残基普遍存在保守梯度。通过观察同一数据集中的氨基酸偏好分布而不是进化率,我们量化了活性位点对理化特性的特定位置约束的影响。我们发现,保守梯度对极性、疏水性、柔韧性、刚性和结构的约束的反应方式与折叠极性原则一致;而远离活性位点的位点似乎不受理化约束的影响,而是高度可变的,并且有利于代谢成本低的氨基酸。总体而言,我们的研究结果表明,氨基酸变异比进化模型中通常认为的包含更多关于蛋白质结构的信息,并且这种信息可以通过简单的拟合自动检索。我们提出,将这里提出的这种分析纳入蛋白质进化模型中,应该可以更好地描述分子进化背后的物理化学。