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蛋白质形状的进化驱动因素。

Evolutionary drivers of protein shape.

机构信息

NASA Ames Research Center, Moffett Field, CA, 94043, USA.

Molecular Therapeutics and Formulation, School of Pharmacy, University of Nottingham, Nottingham, NG7 2RD, United Kingdom.

出版信息

Sci Rep. 2019 Aug 15;9(1):11873. doi: 10.1038/s41598-019-47337-8.

DOI:10.1038/s41598-019-47337-8
PMID:31417097
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6695434/
Abstract

Diffusional motion within the crowded environment of the cell is known to be crucial to cellular function as it drives the interactions of proteins. However, the relationships between protein diffusion, shape and interaction, and the evolutionary selection mechanisms that arise as a consequence, have not been investigated. Here, we study the dynamics of triaxial ellipsoids of equivalent steric volume to proteins at different aspect ratios and volume fractions using a combination of Brownian molecular dynamics and geometric packing. In general, proteins are found to have a shape, approximately Golden in aspect ratio, that give rise to the highest critical volume fraction resisting gelation, corresponding to the fastest long-time self-diffusion in the cell. The ellipsoidal shape also directs random collisions between proteins away from sites that would promote aggregation and loss of function to more rapidly evolving nonsticky regions on the surface, and further provides a greater tolerance to mutation.

摘要

细胞中拥挤环境下的扩散运动对细胞功能至关重要,因为它驱动了蛋白质的相互作用。然而,蛋白质扩散、形状和相互作用之间的关系,以及由此产生的进化选择机制,尚未得到研究。在这里,我们使用布朗分子动力学和几何包装的组合,研究了不同纵横比和体积分数的三轴椭球体的动力学。一般来说,蛋白质的形状接近黄金纵横比,这导致了最高的临界体积分数,抵抗凝胶化,对应于细胞中最快的长时间自扩散。椭球形状还将蛋白质之间的随机碰撞引导到远离促进聚集和功能丧失的部位,而更快速进化的非粘性表面区域,并且进一步提供了对突变的更大容忍度。

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1
Evolutionary drivers of protein shape.蛋白质形状的进化驱动因素。
Sci Rep. 2019 Aug 15;9(1):11873. doi: 10.1038/s41598-019-47337-8.
2
Macromolecular crowding directs the motion of small molecules inside cells.大分子拥挤效应指导小分子在细胞内的运动。
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Sliding of proteins non-specifically bound to DNA: Brownian dynamics studies with coarse-grained protein and DNA models.非特异性结合到DNA上的蛋白质滑动:使用粗粒度蛋白质和DNA模型的布朗动力学研究。
PLoS Comput Biol. 2014 Dec 11;10(12):e1003990. doi: 10.1371/journal.pcbi.1003990. eCollection 2014 Dec.
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Conservation of intrinsic dynamics in proteins-what have computational models taught us?蛋白质固有动力学的守恒——计算模型教会了我们什么?
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本文引用的文献

1
Effect of protein-protein interactions and solvent viscosity on the rotational diffusion of proteins in crowded environments.蛋白质-蛋白质相互作用和溶剂粘度对拥挤环境中蛋白质旋转扩散的影响。
Phys Chem Chem Phys. 2019 Jan 2;21(2):876-883. doi: 10.1039/c8cp06142d.
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Hard-sphere-like dynamics in highly concentrated alpha-crystallin suspensions.高浓度α-晶体蛋白悬浮液中的硬球样动力学。
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Transient misfolding dominates multidomain protein folding.瞬时错误折叠在多结构域蛋白质折叠中占主导地位。
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Predictive self-assembly of polyhedra into complex structures.多面体的预测自组装成复杂结构。
Science. 2012 Jul 27;337(6093):453-7. doi: 10.1126/science.1220869.
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The physics of the colloidal glass transition.胶体玻璃转变的物理特性。
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10
Physical limits of cells and proteomes.细胞和蛋白质组的物理极限。
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