• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

蛋白质变构模型中稀疏性和模块化的演变

Evolution of sparsity and modularity in a model of protein allostery.

作者信息

Hemery Mathieu, Rivoire Olivier

机构信息

ESPCI ParisTech, PCT, Gulliver, F-75005, Paris, France.

CNRS, LIPhy, F-38000 Grenoble, France.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2015 Apr;91(4):042704. doi: 10.1103/PhysRevE.91.042704. Epub 2015 Apr 9.

DOI:10.1103/PhysRevE.91.042704
PMID:25974524
Abstract

The sequence of a protein is not only constrained by its physical and biochemical properties under current selection, but also by features of its past evolutionary history. Understanding the extent and the form that these evolutionary constraints may take is important to interpret the information in protein sequences. To study this problem, we introduce a simple but physical model of protein evolution where selection targets allostery, the functional coupling of distal sites on protein surfaces. This model shows how the geometrical organization of couplings between amino acids within a protein structure can depend crucially on its evolutionary history. In particular, two scenarios are found to generate a spatial concentration of functional constraints: high mutation rates and fluctuating selective pressures. This second scenario offers a plausible explanation for the high tolerance of natural proteins to mutations and for the spatial organization of their least tolerant amino acids, as revealed by sequence analysis and mutagenesis experiments. It also implies a faculty to adapt to new selective pressures that is consistent with observations. The model illustrates how several independent functional modules may emerge within the same protein structure, depending on the nature of past environmental fluctuations. Our model thus relates the evolutionary history of proteins to the geometry of their functional constraints, with implications for decoding and engineering protein sequences.

摘要

蛋白质的序列不仅受当前选择下其物理和生化特性的限制,还受其过去进化历史特征的限制。了解这些进化限制可能呈现的程度和形式对于解读蛋白质序列中的信息很重要。为了研究这个问题,我们引入了一个简单但基于物理的蛋白质进化模型,其中选择的目标是变构,即蛋白质表面远端位点的功能偶联。该模型展示了蛋白质结构内氨基酸之间偶联的几何组织如何关键地取决于其进化历史。特别地,发现两种情况会产生功能限制的空间集中:高突变率和波动的选择压力。正如序列分析和诱变实验所揭示的,第二种情况为天然蛋白质对突变的高耐受性及其耐受性最低的氨基酸的空间组织提供了一个合理的解释。它还暗示了一种与观察结果一致的适应新选择压力的能力。该模型说明了根据过去环境波动的性质,几个独立的功能模块如何可能在同一蛋白质结构中出现。因此,我们的模型将蛋白质的进化历史与其功能限制的几何结构联系起来,对解码和设计蛋白质序列具有启示意义。

相似文献

1
Evolution of sparsity and modularity in a model of protein allostery.蛋白质变构模型中稀疏性和模块化的演变
Phys Rev E Stat Nonlin Soft Matter Phys. 2015 Apr;91(4):042704. doi: 10.1103/PhysRevE.91.042704. Epub 2015 Apr 9.
2
A protein evolution model with independent sites that reproduces site-specific amino acid distributions from the Protein Data Bank.一种具有独立位点的蛋白质进化模型,可从蛋白质数据库中重现位点特异性氨基酸分布。
BMC Evol Biol. 2006 May 31;6:43. doi: 10.1186/1471-2148-6-43.
3
Parsimonious evolutionary scenario for the origin of allostery and coevolution patterns in proteins.蛋白质变构和协同进化模式起源的简约进化情景。
Phys Rev E. 2019 Sep;100(3-1):032411. doi: 10.1103/PhysRevE.100.032411.
4
Simulating protein evolution in sequence and structure space.在序列和结构空间中模拟蛋白质进化。
Curr Opin Struct Biol. 2004 Apr;14(2):202-7. doi: 10.1016/j.sbi.2004.03.001.
5
Natural vs. random protein sequences: Discovering combinatorics properties on amino acid words.天然蛋白质序列与随机蛋白质序列:探索氨基酸词的组合特性。
J Theor Biol. 2016 Feb 21;391:13-20. doi: 10.1016/j.jtbi.2015.11.022. Epub 2015 Dec 2.
6
Quaternary structure constraints on evolutionary sequence divergence.四级结构对进化序列分歧的限制
Mol Biol Evol. 2007 Feb;24(2):349-51. doi: 10.1093/molbev/msl181. Epub 2006 Nov 23.
7
A new formulation of protein evolutionary models that account for structural constraints.一种新的蛋白质进化模型公式,该公式考虑了结构约束。
Mol Biol Evol. 2014 Mar;31(3):736-49. doi: 10.1093/molbev/mst240. Epub 2013 Dec 3.
8
Evolution of protein modularity.蛋白质模块化的演变。
Curr Opin Struct Biol. 2009 Jun;19(3):335-40. doi: 10.1016/j.sbi.2009.03.007. Epub 2009 Apr 22.
9
Spatial distribution of selection pressure on a protein based on the hierarchical Bayesian model.基于层次贝叶斯模型的蛋白质选择压力的空间分布。
Mol Biol Evol. 2013 Dec;30(12):2714-22. doi: 10.1093/molbev/mst151. Epub 2013 Sep 2.
10
On the accuracy of inferring energetic coupling between distant sites in protein families from evolutionary imprints: illustrations using lattice model.从进化印记推断蛋白质家族中远程位点之间能量耦联的准确性:晶格模型的说明
Proteins. 2009 Dec;77(4):823-31. doi: 10.1002/prot.22498.

引用本文的文献

1
Learning to learn by using nonequilibrium training protocols for adaptable materials.通过使用非平衡训练协议来学习适应材料。
Proc Natl Acad Sci U S A. 2023 Jul 4;120(27):e2219558120. doi: 10.1073/pnas.2219558120. Epub 2023 Jun 26.
2
The Statistical Trends of Protein Evolution: A Lesson from AlphaFold Database.蛋白质进化的统计趋势:来自 AlphaFold 数据库的教训。
Mol Biol Evol. 2022 Oct 7;39(10). doi: 10.1093/molbev/msac197.
3
Parameters and determinants of responses to selection in antibody libraries.抗体文库中对选择反应的参数和决定因素。
PLoS Comput Biol. 2021 Mar 25;17(3):e1008751. doi: 10.1371/journal.pcbi.1008751. eCollection 2021 Mar.
4
Episodic evolution of coadapted sets of amino acid sites in mitochondrial proteins.线粒体蛋白中氨基酸位点协同适应集的阶段性进化。
PLoS Genet. 2021 Jan 25;17(1):e1008711. doi: 10.1371/journal.pgen.1008711. eCollection 2021 Jan.
5
Tuning environmental timescales to evolve and maintain generalists.调整环境时间尺度以进化和维持通才。
Proc Natl Acad Sci U S A. 2020 Jun 9;117(23):12693-12699. doi: 10.1073/pnas.1914586117. Epub 2020 May 26.
6
Direct coupling analysis of epistasis in allosteric materials.变构材料中上位性的直接耦联分析。
PLoS Comput Biol. 2020 Mar 2;16(3):e1007630. doi: 10.1371/journal.pcbi.1007630. eCollection 2020 Mar.
7
Mechanics of Allostery: Contrasting the Induced Fit and Population Shift Scenarios.变构机制:对比诱导契合和种群偏移情景。
Biophys J. 2019 Nov 19;117(10):1954-1962. doi: 10.1016/j.bpj.2019.10.002. Epub 2019 Oct 9.
8
Evolving generalists in switching rugged landscapes.在多变崎岖的环境中进化的通才
PLoS Comput Biol. 2019 Oct 1;15(10):e1007320. doi: 10.1371/journal.pcbi.1007320. eCollection 2019 Oct.
9
Principles for Optimal Cooperativity in Allosteric Materials.变构材料中最优协同作用的原则。
Biophys J. 2018 Jun 19;114(12):2787-2798. doi: 10.1016/j.bpj.2018.05.015.
10
Green function of correlated genes in a minimal mechanical model of protein evolution.相关基因在蛋白质进化最小力学模型中的格林函数。
Proc Natl Acad Sci U S A. 2018 May 15;115(20):E4559-E4568. doi: 10.1073/pnas.1716215115. Epub 2018 Apr 30.