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RNA与蛋白质折叠:共同主题与变体

RNA and protein folding: common themes and variations.

作者信息

Thirumalai D, Hyeon Changbong

机构信息

Biophysics Program, Institute for Physical Science and Technology, University of Maryland, College Park, Maryland 20742, USA.

出版信息

Biochemistry. 2005 Apr 5;44(13):4957-70. doi: 10.1021/bi047314+.

Abstract

Visualizing the navigation of an ensemble of unfolded molecules through the bumpy energy landscape in search of the native state gives a pictorial view of biomolecular folding. This picture, when combined with concepts in polymer theory, provides a unified theory of RNA and protein folding. Just as for proteins, the major folding free energy barrier for RNA scales sublinearly with the number of nucleotides, which allows us to extract the elusive prefactor for RNA folding. Several folding scenarios can be anticipated by considering variations in the energy landscape that depend on sequence, native topology, and external conditions. RNA and protein folding mechanism can be described by the kinetic partitioning mechanism (KPM) according to which a fraction (Phi) of molecules reaches the native state directly, whereas the remaining fraction gets kinetically trapped in metastable conformations. For two-state folders Phi approximately 1. Molecular chaperones are recruited to assist protein folding whenever Phi is small. We show that the iterative annealing mechanism, introduced to describe chaperonin-mediated folding, can be generalized to understand protein-assisted RNA folding. The major differences between the folding of proteins and RNA arise in the early stages of folding. For RNA, folding can only begin after the polyelectrolyte problem is solved, whereas protein collapse requires burial of hydrophobic residues. Cross-fertilization of ideas between the two fields should lead to an understanding of how RNA and proteins solve their folding problems.

摘要

可视化一组未折叠分子在崎岖的能量景观中寻找天然状态的导航过程,能呈现出生物分子折叠的直观画面。这幅画面与聚合物理论中的概念相结合,为RNA和蛋白质折叠提供了一个统一的理论。正如蛋白质一样,RNA的主要折叠自由能障碍与核苷酸数量呈亚线性比例关系,这使我们能够提取出难以捉摸的RNA折叠前置因子。通过考虑依赖于序列、天然拓扑结构和外部条件的能量景观变化,可以预测几种折叠情况。RNA和蛋白质的折叠机制可以用动力学分配机制(KPM)来描述,根据该机制,一部分(Phi)分子直接达到天然状态,而其余部分则在动力学上被困在亚稳态构象中。对于两态折叠分子,Phi约为1。当Phi较小时,会招募分子伴侣来协助蛋白质折叠。我们表明,为描述伴侣蛋白介导的折叠而引入的迭代退火机制可以推广到理解蛋白质辅助的RNA折叠。蛋白质和RNA折叠的主要差异出现在折叠的早期阶段。对于RNA,只有在解决了聚电解质问题之后才能开始折叠,而蛋白质的折叠则需要掩埋疏水残基。这两个领域之间的思想交叉融合应该会使人们理解RNA和蛋白质是如何解决它们的折叠问题的。

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