Program in Molecular Medicine, Hospital for Sick Children, Toronto, Canada.
Department of Biochemistry, University of Toronto, Toronto, Canada.
Elife. 2018 Feb 9;7:e31486. doi: 10.7554/eLife.31486.
Protein phase separation is implicated in formation of membraneless organelles, signaling puncta and the nuclear pore. Multivalent interactions of modular binding domains and their target motifs can drive phase separation. However, forces promoting the more common phase separation of intrinsically disordered regions are less understood, with suggested roles for multivalent cation-pi, pi-pi, and charge interactions and the hydrophobic effect. Known phase-separating proteins are enriched in pi-orbital containing residues and thus we analyzed pi-interactions in folded proteins. We found that pi-pi interactions involving non-aromatic groups are widespread, underestimated by force-fields used in structure calculations and correlated with solvation and lack of regular secondary structure, properties associated with disordered regions. We present a phase separation predictive algorithm based on pi interaction frequency, highlighting proteins involved in biomaterials and RNA processing.
蛋白质相分离与无膜细胞器的形成、信号点状结构和核孔有关。模块化结合域及其靶基序的多价相互作用可以驱动相分离。然而,对于更常见的无序区域相分离的促进力了解较少,有人提出多价阳离子-π、π-π 和电荷相互作用以及疏水作用的作用。已知的相分离蛋白富含含有π 轨道的残基,因此我们分析了折叠蛋白中的π 相互作用。我们发现,涉及非芳族基团的π-π 相互作用很普遍,在结构计算中使用的力场低估了这些相互作用,并与溶剂化和缺乏规则二级结构相关联,这些特性与无序区域有关。我们提出了一种基于π 相互作用频率的相分离预测算法,突出了参与生物材料和 RNA 处理的蛋白质。