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αC-β4环在蛋白激酶结构与动力学中的作用。

Role of the αC-β4 loop in protein kinase structure and dynamics.

作者信息

Wu Jian, Jonniya Nisha A, Hirakis Sophia P, Olivieri Cristina, Veglia Gianluigi, Kornev Alexandr P, Taylor Susan S

机构信息

Department of Pharmacology, University of California, San Diego, San Diego, United States.

Department of Chemistry and Biochemistry, University of California, San Diego, San Diego, United States.

出版信息

Elife. 2024 Dec 4;12:RP91980. doi: 10.7554/eLife.91980.

Abstract

Although the αC-β4 loop is a stable feature of all protein kinases, the importance of this motif as a conserved element of secondary structure, as well as its links to the hydrophobic architecture of the kinase core, has been underappreciated. We first review the motif and then describe how it is linked to the hydrophobic spine architecture of the kinase core, which we first discovered using a computational tool, local spatial Pattern (LSP) alignment. Based on NMR predictions that a mutation in this motif abolishes the synergistic high-affinity binding of ATP and a pseudo substrate inhibitor, we used LSP to interrogate the F100A mutant. This comparison highlights the importance of the αC-β4 loop and key residues at the interface between the N- and C-lobes. In addition, we delved more deeply into the structure of the apo C-subunit, which lacks ATP. While apo C-subunit showed no significant changes in backbone dynamics of the αC-β4 loop, we found significant differences in the side chain dynamics of K105. The LSP analysis suggests disruption of communication between the N- and C-lobes in the F100A mutant, which would be consistent with the structural changes predicted by the NMR spectroscopy.

摘要

尽管αC-β4环是所有蛋白激酶的一个稳定特征,但该基序作为二级结构保守元件的重要性,以及它与激酶核心疏水结构的联系,一直未得到充分重视。我们首先回顾该基序,然后描述它如何与激酶核心的疏水脊柱结构相联系,这是我们最初使用一种计算工具——局部空间模式(LSP)比对发现的。基于核磁共振预测该基序中的一个突变会消除ATP和一种假底物抑制剂的协同高亲和力结合,我们使用LSP来研究F100A突变体。这种比较突出了αC-β4环以及N-叶和C-叶之间界面处关键残基的重要性。此外,我们更深入地研究了缺乏ATP的脱辅基C亚基的结构。虽然脱辅基C亚基在αC-β4环的主链动力学上没有显著变化,但我们发现K105的侧链动力学有显著差异。LSP分析表明F100A突变体中N-叶和C-叶之间的通讯中断,这与核磁共振光谱预测的结构变化一致。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a1e0/11616992/90e13daf9ab8/elife-91980-fig1.jpg

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