• 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

相互作用蛋白的协同进化:透视镜像树背后的奥秘

Correlated evolution of interacting proteins: looking behind the mirrortree.

作者信息

Kann Maricel G, Shoemaker Benjamin A, Panchenko Anna R, Przytycka Teresa M

机构信息

Department of Biological Sciences, University of Maryland, Baltimore County, MD 21250, USA.

出版信息

J Mol Biol. 2009 Jan 9;385(1):91-8. doi: 10.1016/j.jmb.2008.09.078. Epub 2008 Oct 9.

DOI:10.1016/j.jmb.2008.09.078
PMID:18930732
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2678019/
Abstract

It has been observed that the evolutionary distances of interacting proteins often display a higher level of similarity than those of noninteracting proteins. This finding indicates that interacting proteins are subject to common evolutionary constraints and constitutes the basis of a method to predict protein interactions known as mirrortree. It has been difficult, however, to identify the direct cause of the observed similarities between evolutionary trees. One possible explanation is the existence of compensatory mutations between partners' binding sites to maintain proper binding. This explanation, though, has been recently challenged, and it has been suggested that the signal of correlated evolution uncovered by the mirrortree method is unrelated to any correlated evolution between binding sites. We examine the contribution of binding sites to the correlation between evolutionary trees of interacting domains. We show that binding neighborhoods of interacting proteins have, on average, higher coevolutionary signal compared with the regions outside binding sites; however, when the binding neighborhood is removed, the remaining domain sequence still contains some coevolutionary signal. In conclusion, the correlation between evolutionary trees of interacting domains cannot exclusively be attributed to the correlated evolution of the binding sites or to common evolutionary pressure exerted on the whole protein domain sequence, each of which contributes to the signal measured by the mirrortree approach.

摘要

据观察,相互作用蛋白的进化距离通常比非相互作用蛋白的进化距离表现出更高的相似性水平。这一发现表明,相互作用蛋白受到共同的进化限制,构成了一种预测蛋白相互作用的方法——镜像树法的基础。然而,很难确定进化树之间观察到的相似性的直接原因。一种可能的解释是,伙伴结合位点之间存在补偿性突变以维持适当的结合。不过,这种解释最近受到了挑战,有人提出镜像树法揭示的协同进化信号与结合位点之间的任何协同进化无关。我们研究了结合位点对相互作用结构域进化树之间相关性的贡献。我们表明,与结合位点之外的区域相比,相互作用蛋白的结合邻域平均具有更高的协同进化信号;然而,当去除结合邻域时,剩余的结构域序列仍包含一些协同进化信号。总之,相互作用结构域进化树之间的相关性不能完全归因于结合位点的协同进化或施加于整个蛋白结构域序列的共同进化压力,这两者都对镜像树方法测量的信号有贡献。

相似文献

1
Correlated evolution of interacting proteins: looking behind the mirrortree.相互作用蛋白的协同进化:透视镜像树背后的奥秘
J Mol Biol. 2009 Jan 9;385(1):91-8. doi: 10.1016/j.jmb.2008.09.078. Epub 2008 Oct 9.
2
Predicting protein-protein interaction by the mirrortree method: possibilities and limitations.通过镜像树方法预测蛋白质-蛋白质相互作用:可能性和局限性。
PLoS One. 2013 Dec 13;8(12):e81100. doi: 10.1371/journal.pone.0081100. eCollection 2013.
3
Prediction of protein interaction based on similarity of phylogenetic trees.基于系统发育树相似性的蛋白质相互作用预测
Methods Mol Biol. 2008;484:523-35. doi: 10.1007/978-1-59745-398-1_31.
4
Specificity in protein interactions and its relationship with sequence diversity and coevolution.蛋白质相互作用中的特异性及其与序列多样性和共同进化的关系。
Proc Natl Acad Sci U S A. 2007 May 8;104(19):7999-8004. doi: 10.1073/pnas.0609962104. Epub 2007 Apr 27.
5
Predicting protein domain interactions from coevolution of conserved regions.从保守区域的共进化预测蛋白质结构域相互作用。
Proteins. 2007 Jun 1;67(4):811-20. doi: 10.1002/prot.21347.
6
Co-evolutionary analysis of domains in interacting proteins reveals insights into domain-domain interactions mediating protein-protein interactions.相互作用蛋白中结构域的共进化分析揭示了介导蛋白质-蛋白质相互作用的结构域-结构域相互作用的见解。
J Mol Biol. 2006 Sep 29;362(4):861-75. doi: 10.1016/j.jmb.2006.07.072. Epub 2006 Aug 1.
7
Exploiting the co-evolution of interacting proteins to discover interaction specificity.利用相互作用蛋白的共同进化来发现相互作用特异性。
J Mol Biol. 2003 Mar 14;327(1):273-84. doi: 10.1016/s0022-2836(03)00114-1.
8
The origins of the evolutionary signal used to predict protein-protein interactions.进化信号用于预测蛋白质-蛋白质相互作用的起源。
BMC Evol Biol. 2012 Dec 6;12:238. doi: 10.1186/1471-2148-12-238.
9
Large-scale co-evolution analysis of protein structural interlogues using the global protein structural interactome map (PSIMAP).使用全球蛋白质结构相互作用组图谱(PSIMAP)对蛋白质结构互对数进行大规模协同进化分析。
Bioinformatics. 2004 May 1;20(7):1138-50. doi: 10.1093/bioinformatics/bth053. Epub 2004 Feb 5.
10
Incorporating information on predicted solvent accessibility to the co-evolution-based study of protein interactions.将预测的溶剂可及性信息纳入基于共进化的蛋白质相互作用研究中。
Mol Biosyst. 2013 Jan 27;9(1):70-6. doi: 10.1039/c2mb25325a. Epub 2012 Oct 26.

引用本文的文献

1
EvoWeaver: large-scale prediction of gene functional associations from coevolutionary signals.EvoWeaver:基于共进化信号的基因功能关联大规模预测
Nat Commun. 2025 Apr 24;16(1):3878. doi: 10.1038/s41467-025-59175-6.
2
Evolutionary rate covariation is a reliable predictor of co-functional interactions but not necessarily physical interactions.进化速率协变是共功能相互作用的可靠预测指标,但不一定是物理相互作用。
Elife. 2024 Feb 28;12:RP93333. doi: 10.7554/eLife.93333.
3
Bioinformatic Analysis of Na, K-ATPase Regulation through Phosphorylation of the Alpha-Subunit N-Terminus.通过磷酸化α-亚基 N 端对 Na,K-ATP 酶进行的生物信息学分析
Int J Mol Sci. 2022 Dec 21;24(1):67. doi: 10.3390/ijms24010067.
4
Correlations from structure and phylogeny combine constructively in the inference of protein partners from sequences.结构和系统发生的相关性在从序列推断蛋白质伴侣时具有建设性的结合。
PLoS Comput Biol. 2022 May 16;18(5):e1010147. doi: 10.1371/journal.pcbi.1010147. eCollection 2022 May.
5
The Influence of Codon Usage, Protein Abundance, and Protein Stability on Protein Evolution Vary by Evolutionary Distance and the Type of Protein.密码子使用、蛋白质丰度和蛋白质稳定性对蛋白质进化的影响因进化距离和蛋白质类型而异。
Protein J. 2022 Apr;41(2):216-229. doi: 10.1007/s10930-022-10045-w. Epub 2022 Feb 11.
6
Phylogenetic correlations can suffice to infer protein partners from sequences.系统发育相关性足以从序列中推断蛋白质伴侣。
PLoS Comput Biol. 2019 Oct 14;15(10):e1007179. doi: 10.1371/journal.pcbi.1007179. eCollection 2019 Oct.
7
Protein-protein interactions leave evolutionary footprints: High molecular coevolution at the core of interfaces.蛋白质-蛋白质相互作用留下了进化印记:界面核心处的高分子协同进化。
Protein Sci. 2017 Dec;26(12):2438-2444. doi: 10.1002/pro.3318. Epub 2017 Oct 25.
8
Recruitment of Tiam1 to Semaphorin 4D Activates Rac and Enhances Proliferation, Invasion, and Metastasis in Oral Squamous Cell Carcinoma.Tiam1被招募至信号素4D可激活Rac并增强口腔鳞状细胞癌的增殖、侵袭及转移能力。
Neoplasia. 2017 Feb;19(2):65-74. doi: 10.1016/j.neo.2016.12.004. Epub 2016 Dec 27.
9
Proteomic and phylogenetic coevolution analyses of pM79 and pM92 identify interactions with RNA polymerase II and delineate the murine cytomegalovirus late transcription complex.对pM79和pM92进行蛋白质组学和系统发育共同进化分析,确定了它们与RNA聚合酶II的相互作用,并描绘了小鼠巨细胞病毒晚期转录复合体。
J Gen Virol. 2017 Feb;98(2):242-250. doi: 10.1099/jgv.0.000676. Epub 2017 Feb 12.
10
The methanogenic redox cofactor F is widely synthesized by aerobic soil bacteria.产甲烷氧化还原辅因子F广泛由好氧土壤细菌合成。
ISME J. 2017 Jan;11(1):125-137. doi: 10.1038/ismej.2016.100. Epub 2016 Aug 9.

本文引用的文献

1
Coevolution in defining the functional specificity.在定义功能特异性方面的共同进化。
Proteins. 2009 Apr;75(1):231-40. doi: 10.1002/prot.22239.
2
Co-evolution and co-adaptation in protein networks.蛋白质网络中的共同进化与共同适应
FEBS Lett. 2008 Apr 9;582(8):1225-30. doi: 10.1016/j.febslet.2008.02.017. Epub 2008 Feb 20.
3
High-confidence prediction of global interactomes based on genome-wide coevolutionary networks.基于全基因组共进化网络的全球相互作用组的高可信度预测。
Proc Natl Acad Sci U S A. 2008 Jan 22;105(3):934-9. doi: 10.1073/pnas.0709671105. Epub 2008 Jan 16.
4
Detecting coevolution in and among protein domains.检测蛋白质结构域内部及之间的协同进化。
PLoS Comput Biol. 2007 Nov;3(11):e211. doi: 10.1371/journal.pcbi.0030211. Epub 2007 Sep 18.
5
Specificity in protein interactions and its relationship with sequence diversity and coevolution.蛋白质相互作用中的特异性及其与序列多样性和共同进化的关系。
Proc Natl Acad Sci U S A. 2007 May 8;104(19):7999-8004. doi: 10.1073/pnas.0609962104. Epub 2007 Apr 27.
6
Predicting protein domain interactions from coevolution of conserved regions.从保守区域的共进化预测蛋白质结构域相互作用。
Proteins. 2007 Jun 1;67(4):811-20. doi: 10.1002/prot.21347.
7
Phylogenetic tree information aids supervised learning for predicting protein-protein interaction based on distance matrices.系统发育树信息有助于基于距离矩阵预测蛋白质-蛋白质相互作用的监督学习。
BMC Bioinformatics. 2007 Jan 9;8:6. doi: 10.1186/1471-2105-8-6.
8
Co-evolutionary analysis of domains in interacting proteins reveals insights into domain-domain interactions mediating protein-protein interactions.相互作用蛋白中结构域的共进化分析揭示了介导蛋白质-蛋白质相互作用的结构域-结构域相互作用的见解。
J Mol Biol. 2006 Sep 29;362(4):861-75. doi: 10.1016/j.jmb.2006.07.072. Epub 2006 Aug 1.
9
Use of receiver operating characteristic (ROC) analysis to evaluate sequence matching.使用受试者工作特征(ROC)分析来评估序列匹配。
Comput Chem. 1996 Mar;20(1):25-33. doi: 10.1016/s0097-8485(96)80004-0.
10
Finding biologically relevant protein domain interactions: conserved binding mode analysis.寻找具有生物学相关性的蛋白质结构域相互作用:保守结合模式分析
Protein Sci. 2006 Feb;15(2):352-61. doi: 10.1110/ps.051760806. Epub 2005 Dec 29.