• 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

蛋白质折叠网络可视化及其与序列和功能关系的综述。

A review of visualisations of protein fold networks and their relationship with sequence and function.

机构信息

School of Natural Sciences, University of Tasmania, Private Bag 37, Hobart, Tasmania, 7001, Australia.

出版信息

Biol Rev Camb Philos Soc. 2023 Feb;98(1):243-262. doi: 10.1111/brv.12905. Epub 2022 Oct 9.

DOI:10.1111/brv.12905
PMID:36210328
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10092621/
Abstract

Proteins form arguably the most significant link between genotype and phenotype. Understanding the relationship between protein sequence and structure, and applying this knowledge to predict function, is difficult. One way to investigate these relationships is by considering the space of protein folds and how one might move from fold to fold through similarity, or potential evolutionary relationships. The many individual characterisations of fold space presented in the literature can tell us a lot about how well the current Protein Data Bank represents protein fold space, how convergence and divergence may affect protein evolution, how proteins affect the whole of which they are part, and how proteins themselves function. A synthesis of these different approaches and viewpoints seems the most likely way to further our knowledge of protein structure evolution and thus, facilitate improved protein structure design and prediction.

摘要

蛋白质可以说是基因型和表型之间最重要的联系。理解蛋白质序列和结构之间的关系,并将这方面的知识应用于预测功能,是很困难的。一种研究这些关系的方法是考虑蛋白质折叠的空间,以及如何通过相似性或潜在的进化关系从一种折叠转移到另一种折叠。文献中提出的许多关于折叠空间的个体特征,可以告诉我们当前的蛋白质数据库(PDB)对蛋白质折叠空间的代表性如何,收敛和发散如何影响蛋白质进化,蛋白质如何影响它们所属的整体,以及蛋白质本身如何发挥作用。综合这些不同的方法和观点,似乎是进一步了解蛋白质结构进化的最有可能的途径,从而有助于改进蛋白质结构设计和预测。

相似文献

1
A review of visualisations of protein fold networks and their relationship with sequence and function.蛋白质折叠网络可视化及其与序列和功能关系的综述。
Biol Rev Camb Philos Soc. 2023 Feb;98(1):243-262. doi: 10.1111/brv.12905. Epub 2022 Oct 9.
2
Navigating Among Known Structures in Protein Space.在蛋白质空间中的已知结构间导航。
Methods Mol Biol. 2019;1851:233-249. doi: 10.1007/978-1-4939-8736-8_12.
3
Cross-over between discrete and continuous protein structure space: insights into automatic classification and networks of protein structures.离散与连续蛋白质结构空间之间的交叉:对蛋白质结构自动分类及网络的见解。
PLoS Comput Biol. 2009 Mar;5(3):e1000331. doi: 10.1371/journal.pcbi.1000331. Epub 2009 Mar 27.
4
Revealing Unexplored Sequence-Function Space Using Sequence Similarity Networks.使用序列相似性网络揭示未探索的序列-功能空间
Biochemistry. 2018 Aug 7;57(31):4651-4662. doi: 10.1021/acs.biochem.8b00473. Epub 2018 Jul 27.
5
Evolution and similarity evaluation of protein structures in contact map space.接触图空间中蛋白质结构的进化与相似性评估
Proteins. 2005 May 1;59(2):196-204. doi: 10.1002/prot.20415.
6
Resolving protein structure-function-binding site relationships from a binding site similarity network perspective.从结合位点相似性网络的角度解析蛋白质结构-功能-结合位点关系。
Proteins. 2017 Jul;85(7):1319-1335. doi: 10.1002/prot.25293. Epub 2017 Apr 22.
7
A galaxy of folds.一片褶皱的星系。
Protein Sci. 2010 Jan;19(1):124-30. doi: 10.1002/pro.297.
8
Evolutionary relationship of two ancient protein superfolds.两种古老蛋白质超折叠的进化关系。
Nat Chem Biol. 2014 Sep;10(9):710-5. doi: 10.1038/nchembio.1579. Epub 2014 Jul 13.
9
Computational exploration of the network of sequence flow between protein structures.计算探索蛋白质结构之间序列流的网络。
Proteins. 2010 Mar;78(4):985-1003. doi: 10.1002/prot.22622.
10
Connectivity of neutral networks, overdispersion, and structural conservation in protein evolution.蛋白质进化中神经网络的连通性、过度分散和结构保守性。
J Mol Evol. 2003 Mar;56(3):243-54. doi: 10.1007/s00239-002-2350-0.

引用本文的文献

1
From Trees to Traits: A Review of Advances in PhyloG2P Methods and Future Directions.从树到性状:系统发育基因到性状(PhyloG2P)方法的进展回顾与未来方向
Genome Biol Evol. 2025 Sep 2;17(9). doi: 10.1093/gbe/evaf150.
2
Design and characterization of a protein fold switching network.设计和表征蛋白质折叠开关网络。
Nat Commun. 2023 Jan 26;14(1):431. doi: 10.1038/s41467-023-36065-3.

本文引用的文献

1
Can AlphaFold2 predict the impact of missense mutations on structure?AlphaFold2能否预测错义突变对结构的影响?
Nat Struct Mol Biol. 2022 Jan;29(1):1-2. doi: 10.1038/s41594-021-00714-2.
2
Highly accurate protein structure prediction with AlphaFold.利用 AlphaFold 进行高精度蛋白质结构预测。
Nature. 2021 Aug;596(7873):583-589. doi: 10.1038/s41586-021-03819-2. Epub 2021 Jul 15.
3
A Fifth of the Protein World: Rossmann-like Proteins as an Evolutionarily Successful Structural unit.五分之一的蛋白质世界:Rossmann 样蛋白作为一种进化成功的结构单元。
J Mol Biol. 2021 Feb 19;433(4):166788. doi: 10.1016/j.jmb.2020.166788. Epub 2020 Dec 31.
4
Benchmarking Methods of Protein Structure Alignment.蛋白质结构比对的基准测试方法
J Mol Evol. 2020 Sep;88(7):575-597. doi: 10.1007/s00239-020-09960-2. Epub 2020 Jul 28.
5
A study on separation of the protein structural types in amino acid sequence feature spaces.氨基酸序列特征空间中蛋白质结构类型的分离研究。
PLoS One. 2019 Dec 23;14(12):e0226768. doi: 10.1371/journal.pone.0226768. eCollection 2019.
6
Dynamics based clustering of globin family members.基于动力学的球蛋白家族成员聚类。
PLoS One. 2018 Dec 4;13(12):e0208465. doi: 10.1371/journal.pone.0208465. eCollection 2018.
7
Multistep mutational transformation of a protein fold through structural intermediates.通过结构中间态的多步突变转化蛋白质折叠。
Protein Sci. 2018 Oct;27(10):1767-1779. doi: 10.1002/pro.3488. Epub 2018 Oct 16.
8
Extant fold-switching proteins are widespread.现存的构象转换蛋白广泛存在。
Proc Natl Acad Sci U S A. 2018 Jun 5;115(23):5968-5973. doi: 10.1073/pnas.1800168115. Epub 2018 May 21.
9
Evolutionary convergence and divergence in archaeal chromosomal proteins and Chromo-like domains from bacteria and eukaryotes.古菌染色体蛋白以及细菌和真核生物的 Chromo 样结构域的进化趋同和趋异。
Sci Rep. 2018 Apr 18;8(1):6196. doi: 10.1038/s41598-018-24467-z.
10
A new parameter-rich structure-aware mechanistic model for amino acid substitution during evolution.一种用于进化过程中氨基酸取代的、新的富含参数的结构感知机制模型。
Proteins. 2018 Feb;86(2):218-228. doi: 10.1002/prot.25429. Epub 2017 Dec 12.