核糖体易位中的交替构象轨迹

IF 3.8 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS PLoS Computational Biology Pub Date : 2024-08-14 eCollection Date: 2024-08-01 DOI:10.1371/journal.pcbi.1012319
Jose L Alejo, Dylan Girodat, Michael J Hammerling, Jessica A Willi, Michael C Jewett, Aaron E Engelhart, Katarzyna P Adamala
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引用次数: 0

摘要

蛋白质合成过程中的转运需要 mRNA-[tRNA]2 底物在肽键形成后通过核糖体进行高效准确的移动。在这一过程中,一个重要的构象变化是小亚基头部结构域围绕两个 rRNA "铰链 "元件的旋转。通过迭代选择和分子动力学模拟,我们得出了能够在体外和体内进行易位的交替铰链元件,并描述了它们对 EF-G 结合的易位核糖体构象轨迹的影响。在这些交替构象途径中,我们观察到了旋转动力学、铰链运动、三维头部结构域轨迹和 tRNA 动力学的多样性。通过发现易位的交替构象途径,我们确定了在这一过程中必不可少或可塑的运动和中间产物。这些发现凸显了蛋白质合成的可塑性,并使我们对这一核心生物过程的可用序列和构象景观有了更透彻的了解。
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Alternate conformational trajectories in ribosome translocation.

Translocation in protein synthesis entails the efficient and accurate movement of the mRNA-[tRNA]2 substrate through the ribosome after peptide bond formation. An essential conformational change during this process is the swiveling of the small subunit head domain about two rRNA 'hinge' elements. Using iterative selection and molecular dynamics simulations, we derive alternate hinge elements capable of translocation in vitro and in vivo and describe their effects on the conformational trajectory of the EF-G-bound, translocating ribosome. In these alternate conformational pathways, we observe a diversity of swivel kinetics, hinge motions, three-dimensional head domain trajectories and tRNA dynamics. By finding alternate conformational pathways of translocation, we identify motions and intermediates that are essential or malleable in this process. These findings highlight the plasticity of protein synthesis and provide a more thorough understanding of the available sequence and conformational landscape of a central biological process.

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来源期刊
PLoS Computational Biology
PLoS Computational Biology BIOCHEMICAL RESEARCH METHODS-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
7.10
自引率
4.70%
发文量
820
审稿时长
2.5 months
期刊介绍: PLOS Computational Biology features works of exceptional significance that further our understanding of living systems at all scales—from molecules and cells, to patient populations and ecosystems—through the application of computational methods. Readers include life and computational scientists, who can take the important findings presented here to the next level of discovery. Research articles must be declared as belonging to a relevant section. More information about the sections can be found in the submission guidelines. Research articles should model aspects of biological systems, demonstrate both methodological and scientific novelty, and provide profound new biological insights. Generally, reliability and significance of biological discovery through computation should be validated and enriched by experimental studies. Inclusion of experimental validation is not required for publication, but should be referenced where possible. Inclusion of experimental validation of a modest biological discovery through computation does not render a manuscript suitable for PLOS Computational Biology. Research articles specifically designated as Methods papers should describe outstanding methods of exceptional importance that have been shown, or have the promise to provide new biological insights. The method must already be widely adopted, or have the promise of wide adoption by a broad community of users. Enhancements to existing published methods will only be considered if those enhancements bring exceptional new capabilities.
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