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2
Emergence of preferred structures in a simple model of protein folding.蛋白质折叠简单模型中偏好结构的出现。
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Simulating protein evolution in sequence and structure space.在序列和结构空间中模拟蛋白质进化。
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Physical origins of protein superfamilies.蛋白质超家族的物理起源
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本文引用的文献

1
ELISA: structure-function inferences based on statistically significant and evolutionarily inspired observations.酶联免疫吸附测定:基于具有统计学意义且受进化启发的观察结果的结构-功能推断。
BMC Bioinformatics. 2003 Sep 2;4:34. doi: 10.1186/1471-2105-4-34.
2
Natural selection of more designable folds: a mechanism for thermophilic adaptation.更具可设计性折叠结构的自然选择:一种嗜热适应机制。
Proc Natl Acad Sci U S A. 2003 Jul 22;100(15):8727-31. doi: 10.1073/pnas.1530713100. Epub 2003 Jul 3.
3
Structural determinant of protein designability.蛋白质可设计性的结构决定因素。
Phys Rev Lett. 2003 May 30;90(21):218101. doi: 10.1103/PhysRevLett.90.218101. Epub 2003 May 29.
4
Algorithms for computing parsimonious evolutionary scenarios for genome evolution, the last universal common ancestor and dominance of horizontal gene transfer in the evolution of prokaryotes.用于计算基因组进化简约进化情景、最后共同祖先以及原核生物进化中水平基因转移主导地位的算法。
BMC Evol Biol. 2003 Jan 6;3:2. doi: 10.1186/1471-2148-3-2.
5
The structure of the protein universe and genome evolution.蛋白质宇宙的结构与基因组进化。
Nature. 2002 Nov 14;420(6912):218-23. doi: 10.1038/nature01256.
6
Expanding protein universe and its origin from the biological Big Bang.不断扩展的蛋白质世界及其源于生物大爆炸的起源。
Proc Natl Acad Sci U S A. 2002 Oct 29;99(22):14132-6. doi: 10.1073/pnas.202497999. Epub 2002 Oct 16.
7
Roles of mutation and recombination in the evolution of protein thermodynamics.突变与重组在蛋白质热力学进化中的作用。
Proc Natl Acad Sci U S A. 2002 Aug 6;99(16):10382-7. doi: 10.1073/pnas.162097799. Epub 2002 Jul 29.
8
From knowledge-based potentials to combinatorial lead design in silico.从基于知识的势能到计算机辅助组合先导设计
Acc Chem Res. 2002 May;35(5):261-9. doi: 10.1021/ar970146b.
9
The natural history of protein domains.蛋白质结构域的自然史。
Annu Rev Biophys Biomol Struct. 2002;31:45-71. doi: 10.1146/annurev.biophys.31.082901.134314. Epub 2001 Oct 25.
10
Protein family and fold occurrence in genomes: power-law behaviour and evolutionary model.基因组中蛋白质家族和折叠的出现情况:幂律行为与进化模型
J Mol Biol. 2001 Nov 2;313(4):673-81. doi: 10.1006/jmbi.2001.5079.

进化在蛋白质结构上的印记。

Imprint of evolution on protein structures.

作者信息

Tiana Guido, Shakhnovich Boris E, Dokholyan Nikolay V, Shakhnovich Eugene I

机构信息

Department of Physics and Istituto Nazionale di Fisica Nucleare, University of Milano, Via Celoria 16, 20133 Milan, Italy.

出版信息

Proc Natl Acad Sci U S A. 2004 Mar 2;101(9):2846-51. doi: 10.1073/pnas.0306638101. Epub 2004 Feb 17.

DOI:10.1073/pnas.0306638101
PMID:14970345
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC365708/
Abstract

We attempt to understand the evolutionary origin of protein folds by simulating their divergent evolution with a three-dimensional lattice model. Starting from an initial seed lattice structure, evolution of model proteins progresses by sequence duplication and subsequent point mutations. A new gene's ability to fold into a stable and unique structure is tested each time through direct kinetic folding simulations. Where possible, the algorithm accepts the new sequence and structure and thus a "new protein structure" is born. During the course of each run, this model evolutionary algorithm provides several thousand new proteins with diverse structures. Analysis of evolved structures shows that later evolved structures are more designable than seed structures as judged by recently developed structural determinant of protein designability, as well as direct estimate of designability for selected structures by thermodynamic sampling of their sequence space. We test the significance of this trend predicted on lattice models on real proteins and show that protein domains that are found in eukaryotic organisms only feature statistically significant higher designability than their prokaryotic counterparts. These results present a fundamental view on protein evolution highlighting the relative roles of structural selection and evolutionary dynamics on genesis of modern proteins.

摘要

我们试图通过用三维晶格模型模拟蛋白质折叠的发散进化来理解其进化起源。从初始的种子晶格结构开始,模型蛋白质的进化通过序列复制和随后的点突变进行。每次通过直接动力学折叠模拟来测试新基因折叠成稳定且独特结构的能力。在可能的情况下,算法接受新序列和结构,从而产生一个“新的蛋白质结构”。在每次运行过程中,这种模型进化算法会提供数千种具有不同结构的新蛋白质。对进化结构的分析表明,根据最近开发的蛋白质可设计性结构决定因素判断,以及通过对选定结构的序列空间进行热力学采样直接估计可设计性,后期进化的结构比种子结构更具可设计性。我们测试了在晶格模型上预测的这一趋势对真实蛋白质的意义,并表明仅在真核生物中发现的蛋白质结构域比其原核对应物具有统计学上显著更高的可设计性。这些结果呈现了关于蛋白质进化的基本观点,突出了结构选择和进化动力学在现代蛋白质起源中的相对作用。