• 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

PSI-2:用于覆盖蛋白质结构域家族空间的结构基因组学。

PSI-2: structural genomics to cover protein domain family space.

作者信息

Dessailly Benoît H, Nair Rajesh, Jaroszewski Lukasz, Fajardo J Eduardo, Kouranov Andrei, Lee David, Fiser Andras, Godzik Adam, Rost Burkhard, Orengo Christine

机构信息

Department of Structural and Molecular Biology, University College of London, London WC1E6BT, UK.

出版信息

Structure. 2009 Jun 10;17(6):869-81. doi: 10.1016/j.str.2009.03.015.

DOI:10.1016/j.str.2009.03.015
PMID:19523904
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2920419/
Abstract

One major objective of structural genomics efforts, including the NIH-funded Protein Structure Initiative (PSI), has been to increase the structural coverage of protein sequence space. Here, we present the target selection strategy used during the second phase of PSI (PSI-2). This strategy, jointly devised by the bioinformatics groups associated with the PSI-2 large-scale production centers, targets representatives from large, structurally uncharacterized protein domain families, and from structurally uncharacterized subfamilies in very large and diverse families with incomplete structural coverage. These very large families are extremely diverse both structurally and functionally, and are highly overrepresented in known proteomes. On the basis of several metrics, we then discuss to what extent PSI-2, during its first 3 years, has increased the structural coverage of genomes, and contributed structural and functional novelty. Together, the results presented here suggest that PSI-2 is successfully meeting its objectives and provides useful insights into structural and functional space.

摘要

包括美国国立卫生研究院资助的蛋白质结构计划(PSI)在内的结构基因组学研究的一个主要目标,是增加蛋白质序列空间的结构覆盖范围。在此,我们展示了PSI第二阶段(PSI-2)所采用的靶点选择策略。该策略由与PSI-2大规模生产中心相关的生物信息学团队共同设计,目标是来自大型、结构未表征的蛋白质结构域家族,以及来自结构覆盖不完整的非常大且多样的家族中的结构未表征亚家族的代表。这些非常大的家族在结构和功能上极其多样,并且在已知蛋白质组中高度富集。基于多项指标,我们接着讨论了PSI-2在其头3年里在多大程度上增加了基因组的结构覆盖范围,并贡献了结构和功能上的新颖性。总体而言,此处呈现的结果表明PSI-2正在成功实现其目标,并为结构和功能空间提供了有用的见解。

相似文献

1
PSI-2: structural genomics to cover protein domain family space.PSI-2:用于覆盖蛋白质结构域家族空间的结构基因组学。
Structure. 2009 Jun 10;17(6):869-81. doi: 10.1016/j.str.2009.03.015.
2
Structural genomics is the largest contributor of novel structural leverage.结构基因组学是新型结构杠杆作用的最大贡献者。
J Struct Funct Genomics. 2009 Apr;10(2):181-91. doi: 10.1007/s10969-008-9055-6. Epub 2009 Feb 5.
3
NMR in structural genomics to increase structural coverage of the protein universe: Delivered by Prof. Kurt Wüthrich on 7 July 2013 at the 38th FEBS Congress in St. Petersburg, Russia.结构基因组学中的核磁共振技术以增加蛋白质宇宙的结构覆盖率:由库尔特·维特里希教授于2013年7月7日在俄罗斯圣彼得堡举行的第38届欧洲生物化学学会联合会大会上发表。
FEBS J. 2016 Nov;283(21):3870-3881. doi: 10.1111/febs.13751. Epub 2016 Jun 9.
4
Towards a comprehensive structural coverage of completed genomes: a structural genomics viewpoint.迈向已完成基因组的全面结构覆盖:结构基因组学视角
BMC Bioinformatics. 2007 Mar 9;8:86. doi: 10.1186/1471-2105-8-86.
5
Comprehensive genome analysis of 203 genomes provides structural genomics with new insights into protein family space.对203个基因组的全面基因组分析为结构基因组学提供了关于蛋白质家族空间的新见解。
Nucleic Acids Res. 2006 Feb 15;34(3):1066-80. doi: 10.1093/nar/gkj494. Print 2006.
6
Quantification of the impact of PSI:Biology according to the annotations of the determined structures.根据所确定结构的注释对PSI:Biology的影响进行量化。
BMC Struct Biol. 2013 Oct 21;13:24. doi: 10.1186/1472-6807-13-24.
7
Automatic target selection for structural genomics on eukaryotes.真核生物结构基因组学的自动靶点选择
Proteins. 2004 Aug 1;56(2):188-200. doi: 10.1002/prot.20012.
8
The impact of structural genomics: the first quindecennial.结构基因组学的影响:首个十五年。
J Struct Funct Genomics. 2016 Mar;17(1):1-16. doi: 10.1007/s10969-016-9201-5. Epub 2016 Mar 2.
9
New York-Structural GenomiX Research Consortium (NYSGXRC): a large scale center for the protein structure initiative.纽约-结构基因组学研究联盟(NYSGXRC):蛋白质结构计划的一个大型中心。
J Struct Funct Genomics. 2005;6(2-3):225-32. doi: 10.1007/s10969-005-6827-0.
10
Structure-based functional inference in structural genomics.结构基因组学中基于结构的功能推断
J Struct Funct Genomics. 2003;4(2-3):129-35. doi: 10.1023/a:1026200610644.

引用本文的文献

1
Novel machine learning approaches revolutionize protein knowledge.新型机器学习方法彻底改变了蛋白质知识。
Trends Biochem Sci. 2023 Apr;48(4):345-359. doi: 10.1016/j.tibs.2022.11.001. Epub 2022 Dec 9.
2
Contrastive learning on protein embeddings enlightens midnight zone.蛋白质嵌入的对比学习照亮了午夜区。
NAR Genom Bioinform. 2022 Jun 11;4(2):lqac043. doi: 10.1093/nargab/lqac043. eCollection 2022 Jun.
3
Characterizing and explaining the impact of disease-associated mutations in proteins without known structures or structural homologs.

本文引用的文献

1
The protein structure initiative structural genomics knowledgebase.蛋白质结构创新计划结构基因组学知识库。
Nucleic Acids Res. 2009 Jan;37(Database issue):D365-8. doi: 10.1093/nar/gkn790. Epub 2008 Nov 14.
2
Arrangements in the modular evolution of proteins.蛋白质模块化进化中的排列方式。
Trends Biochem Sci. 2008 Sep;33(9):444-51. doi: 10.1016/j.tibs.2008.05.008. Epub 2008 Jul 24.
3
From the first protein structures to our current knowledge of protein folding: delights and scepticisms.从首个蛋白质结构到我们目前对蛋白质折叠的认识:欣喜与质疑
对具有未知结构或结构同源物的疾病相关突变蛋白进行特征描述和影响解释。
Brief Bioinform. 2022 Jul 18;23(4). doi: 10.1093/bib/bbac187.
4
Identification of putative essential protein domains from high-density transposon insertion sequencing.从高密度转座子插入测序中鉴定推定必需的蛋白质结构域。
Sci Rep. 2022 Jan 19;12(1):962. doi: 10.1038/s41598-022-05028-x.
5
Fine Sampling of Sequence Space for Membrane Protein Structural Biology.对膜蛋白结构生物学序列空间的精细采样。
J Mol Biol. 2021 Jul 23;433(15):167055. doi: 10.1016/j.jmb.2021.167055. Epub 2021 May 20.
6
Deep learning extends de novo protein modelling coverage of genomes using iteratively predicted structural constraints.深度学习利用迭代预测的结构约束来扩展从头开始的蛋白质建模对基因组的覆盖范围。
Nat Commun. 2019 Sep 4;10(1):3977. doi: 10.1038/s41467-019-11994-0.
7
FunFam protein families improve residue level molecular function prediction.FunFam 蛋白家族可提高残基水平的分子功能预测。
BMC Bioinformatics. 2019 Jul 18;20(1):400. doi: 10.1186/s12859-019-2988-x.
8
Anticipating innovations in structural biology.预测结构生物学的创新。
Q Rev Biophys. 2018 Jan;51:e8. doi: 10.1017/S0033583518000057.
9
Codon usage clusters correlation: towards protein solubility prediction in heterologous expression systems in E. coli.密码子使用簇相关性:预测大肠杆菌异源表达系统中蛋白质的可溶性。
Sci Rep. 2018 Jul 13;8(1):10618. doi: 10.1038/s41598-018-29035-z.
10
fDETECT webserver: fast predictor of propensity for protein production, purification, and crystallization.fDETECT 网页服务器:快速预测蛋白质生产、纯化和结晶的倾向。
BMC Bioinformatics. 2018 Jan 3;18(1):580. doi: 10.1186/s12859-017-1995-z.
Nat Rev Mol Cell Biol. 2008 Aug;9(8):650-4. doi: 10.1038/nrm2446. Epub 2008 Jun 25.
4
Exploring the structure and function paradigm.探索结构与功能范式。
Curr Opin Struct Biol. 2008 Jun;18(3):394-402. doi: 10.1016/j.sbi.2008.05.007.
5
Target selection for structural genomics: an overview.结构基因组学的靶点选择:综述
Methods Mol Biol. 2008;426:3-25. doi: 10.1007/978-1-60327-058-8_1.
6
The structure of protein evolution and the evolution of protein structure.蛋白质进化的结构与蛋白质结构的进化。
Curr Opin Struct Biol. 2008 Apr;18(2):170-7. doi: 10.1016/j.sbi.2008.01.006. Epub 2008 Mar 6.
7
Update on the protein structure initiative.蛋白质结构启动计划最新进展。
Structure. 2007 Dec;15(12):1519-22. doi: 10.1016/j.str.2007.11.004.
8
The universal protein resource (UniProt).通用蛋白质资源(UniProt)。
Nucleic Acids Res. 2008 Jan;36(Database issue):D190-5. doi: 10.1093/nar/gkm895. Epub 2007 Nov 27.
9
The Pfam protein families database.Pfam蛋白质家族数据库。
Nucleic Acids Res. 2008 Jan;36(Database issue):D281-8. doi: 10.1093/nar/gkm960. Epub 2007 Nov 26.
10
Gene3D: comprehensive structural and functional annotation of genomes.基因3D:基因组的全面结构与功能注释
Nucleic Acids Res. 2008 Jan;36(Database issue):D414-8. doi: 10.1093/nar/gkm1019. Epub 2007 Nov 21.