• 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

相似文献

1
GAPP: A Proteogenomic Software for Genome Annotation and Global Profiling of Post-translational Modifications in Prokaryotes.GAPP:一种用于原核生物基因组注释和翻译后修饰全局分析的蛋白质基因组学软件。
Mol Cell Proteomics. 2016 Nov;15(11):3529-3539. doi: 10.1074/mcp.M116.060046. Epub 2016 Sep 14.
2
Proteogenomic analysis and global discovery of posttranslational modifications in prokaryotes.原核生物中蛋白质基因组分析及翻译后修饰的全面发现
Proc Natl Acad Sci U S A. 2014 Dec 30;111(52):E5633-42. doi: 10.1073/pnas.1412722111. Epub 2014 Dec 15.
3
Genome Annotation of a Model Diatom Phaeodactylum tricornutum Using an Integrated Proteogenomic Pipeline.利用整合的蛋白基因组学管道对模式硅藻三角褐指藻进行基因组注释。
Mol Plant. 2018 Oct 8;11(10):1292-1307. doi: 10.1016/j.molp.2018.08.005. Epub 2018 Aug 31.
4
Peptimapper: proteogenomics workflow for the expert annotation of eukaryotic genomes.Peptimapper:用于真核生物基因组专家注释的蛋白质基因组学工作流程。
BMC Genomics. 2019 Jan 17;20(1):56. doi: 10.1186/s12864-019-5431-9.
5
Identification of new protein coding sequences and signal peptidase cleavage sites of Helicobacter pylori strain 26695 by proteogenomics.通过蛋白质组学鉴定幽门螺杆菌 26695 株的新蛋白编码序列和信号肽切割位点。
J Proteomics. 2013 Jun 28;86:27-42. doi: 10.1016/j.jprot.2013.04.036. Epub 2013 May 9.
6
An integrative strategy to identify the entire protein coding potential of prokaryotic genomes by proteogenomics.通过蛋白质基因组学鉴定原核基因组全部蛋白质编码潜能的综合策略。
Genome Res. 2017 Dec;27(12):2083-2095. doi: 10.1101/gr.218255.116. Epub 2017 Nov 15.
7
8
Improving GENCODE reference gene annotation using a high-stringency proteogenomics workflow.利用高严格性的蛋白质基因组学工作流程改进 GENCODE 参考基因注释。
Nat Commun. 2016 Jun 2;7:11778. doi: 10.1038/ncomms11778.
9
SpectroGene: A Tool for Proteogenomic Annotations Using Top-Down Spectra.光谱基因:一种利用自上而下光谱进行蛋白质基因组注释的工具。
J Proteome Res. 2016 Jan 4;15(1):144-51. doi: 10.1021/acs.jproteome.5b00610. Epub 2015 Dec 17.
10
Proteogenomic Methods to Improve Genome Annotation.用于改进基因组注释的蛋白质基因组学方法
Methods Mol Biol. 2016;1410:77-89. doi: 10.1007/978-1-4939-3524-6_5.

引用本文的文献

1
Identification of Proteoforms Related to Flower Petaloid Through Proteogenomic Strategy.通过蛋白质基因组学策略鉴定与花瓣状相关的蛋白质变体
Proteomes. 2025 Jan 15;13(1):4. doi: 10.3390/proteomes13010004.
2
Improving the Genome Annotation of Using Proteogenomics.利用蛋白质基因组学改善[具体物种]的基因组注释 (注:原文中“of”后缺少具体内容)
Curr Genomics. 2021 Dec 30;22(5):373-383. doi: 10.2174/1389202922666211011143957.
3
Proteomics Study Reveals the Anti-Depressive Mechanisms and the Compatibility Advantage of Chaihu-Shugan-San in a Rat Model of Chronic Unpredictable Mild Stress.蛋白质组学研究揭示柴胡疏肝散在慢性不可预测轻度应激大鼠模型中的抗抑郁机制及配伍优势
Front Pharmacol. 2022 Jan 17;12:791097. doi: 10.3389/fphar.2021.791097. eCollection 2021.
4
Proteogenomic Analysis Provides Novel Insight into Genome Annotation and Nitrogen Metabolism in sp. PCC 7120.蛋白基因组分析为 sp. PCC 7120 的基因组注释和氮代谢提供了新的见解。
Microbiol Spectr. 2021 Oct 31;9(2):e0049021. doi: 10.1128/Spectrum.00490-21. Epub 2021 Sep 15.
5
Mining Unknown Porcine Protein Isoforms by Tissue-based Map of Proteome Enhances Pig Genome Annotation.基于组织的蛋白质组图谱挖掘未知的猪蛋白异构体可增强猪基因组注释。
Genomics Proteomics Bioinformatics. 2021 Oct;19(5):772-786. doi: 10.1016/j.gpb.2021.02.002. Epub 2021 Feb 23.
6
Transfer posterior error probability estimation for peptide identification.肽鉴定中转后误差概率估计的转移。
BMC Bioinformatics. 2020 May 4;21(1):173. doi: 10.1186/s12859-020-3485-y.
7
Proteomics progresses in microbial physiology and clinical antimicrobial therapy.蛋白质组学在微生物生理学和临床抗菌治疗中的进展。
Eur J Clin Microbiol Infect Dis. 2017 Mar;36(3):403-413. doi: 10.1007/s10096-016-2816-4. Epub 2016 Nov 4.

本文引用的文献

1
PGA: an R/Bioconductor package for identification of novel peptides using a customized database derived from RNA-Seq.PGA:一个用于使用源自RNA测序的定制数据库鉴定新型肽段的R/Bioconductor软件包。
BMC Bioinformatics. 2016 Jun 17;17(1):244. doi: 10.1186/s12859-016-1133-3.
2
Proteogenomics: Opportunities and Caveats.蛋白质基因组学:机遇与注意事项。
Clin Chem. 2016 Apr;62(4):551-7. doi: 10.1373/clinchem.2015.247858. Epub 2016 Jan 27.
3
Proteogenomics of rare taxonomic phyla: A prospective treasure trove of protein coding genes.稀有分类门的蛋白质基因组学:蛋白质编码基因的潜在宝库。
Proteomics. 2016 Jan;16(2):226-40. doi: 10.1002/pmic.201500263. Epub 2015 Nov 23.
4
Proteogenomics from a bioinformatics angle: A growing field.从生物信息学角度看蛋白质基因组学:一个不断发展的领域。
Mass Spectrom Rev. 2017 Sep;36(5):584-599. doi: 10.1002/mas.21483. Epub 2015 Dec 15.
5
Proteomics of the Roseobacter clade, a window to the marine microbiology landscape.玫瑰杆菌纲的蛋白质组学,海洋微生物景观之窗。
Proteomics. 2015 Dec;15(23-24):3928-42. doi: 10.1002/pmic.201500222. Epub 2015 Nov 23.
6
Proteomic analysis of post translational modifications in cyanobacteria.蓝细菌中翻译后修饰的蛋白质组学分析。
J Proteomics. 2016 Feb 16;134:57-64. doi: 10.1016/j.jprot.2015.07.037. Epub 2015 Aug 4.
7
A note on the false discovery rate of novel peptides in proteogenomics.关于蛋白质基因组学中新型肽段错误发现率的一则注释
Bioinformatics. 2015 Oct 15;31(20):3249-53. doi: 10.1093/bioinformatics/btv340. Epub 2015 Jun 14.
8
A Scalable Approach for Protein False Discovery Rate Estimation in Large Proteomic Data Sets.一种用于大规模蛋白质组学数据集中蛋白质错误发现率估计的可扩展方法。
Mol Cell Proteomics. 2015 Sep;14(9):2394-404. doi: 10.1074/mcp.M114.046995. Epub 2015 May 17.
9
PGTools: A Software Suite for Proteogenomic Data Analysis and Visualization.PGTools:用于蛋白质基因组数据分析与可视化的软件套件。
J Proteome Res. 2015 May 1;14(5):2255-66. doi: 10.1021/acs.jproteome.5b00029. Epub 2015 Apr 17.
10
Proteogenomics: emergence and promise.蛋白质基因组学:兴起与前景
Cell Mol Life Sci. 2015 Mar;72(5):953-7. doi: 10.1007/s00018-015-1837-y. Epub 2015 Jan 22.

GAPP:一种用于原核生物基因组注释和翻译后修饰全局分析的蛋白质基因组学软件。

GAPP: A Proteogenomic Software for Genome Annotation and Global Profiling of Post-translational Modifications in Prokaryotes.

作者信息

Zhang Jia, Yang Ming-Kun, Zeng Honghui, Ge Feng

机构信息

From the ‡Key Laboratory of Algal Biology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China.

§Wuhan Branch, Supercomputing Center, Chinese Academy of Sciences, China.

出版信息

Mol Cell Proteomics. 2016 Nov;15(11):3529-3539. doi: 10.1074/mcp.M116.060046. Epub 2016 Sep 14.

DOI:10.1074/mcp.M116.060046
PMID:27630248
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5098048/
Abstract

Although the number of sequenced prokaryotic genomes is growing rapidly, experimentally verified annotation of prokaryotic genome remains patchy and challenging. To facilitate genome annotation efforts for prokaryotes, we developed an open source software called GAPP for genome annotation and global profiling of post-translational modifications (PTMs) in prokaryotes. With a single command, it provides a standard workflow to validate and refine predicted genetic models and discover diverse PTM events. We demonstrated the utility of GAPP using proteomic data from Helicobacter pylori, one of the major human pathogens that is responsible for many gastric diseases. Our results confirmed 84.9% of the existing predicted H. pylori proteins, identified 20 novel protein coding genes, and corrected four existing gene models with regard to translation initiation sites. In particular, GAPP revealed a large repertoire of PTMs using the same proteomic data and provided a rich resource that can be used to examine the functions of reversible modifications in this human pathogen. This software is a powerful tool for genome annotation and global discovery of PTMs and is applicable to any sequenced prokaryotic organism; we expect that it will become an integral part of ongoing genome annotation efforts for prokaryotes. GAPP is freely available at https://sourceforge.net/projects/gappproteogenomic/.

摘要

尽管已测序的原核生物基因组数量正在迅速增长,但对原核生物基因组进行实验验证的注释仍然不完整且具有挑战性。为了促进原核生物的基因组注释工作,我们开发了一款名为GAPP的开源软件,用于原核生物的基因组注释和翻译后修饰(PTM)的全局分析。只需一个命令,它就能提供一个标准工作流程,以验证和完善预测的遗传模型,并发现各种PTM事件。我们使用来自幽门螺杆菌(一种导致多种胃部疾病的主要人类病原体)的蛋白质组数据展示了GAPP的实用性。我们的结果证实了现有预测的幽门螺杆菌蛋白质中的84.9%,鉴定出20个新的蛋白质编码基因,并在翻译起始位点方面校正了4个现有的基因模型。特别是,GAPP利用相同的蛋白质组数据揭示了大量的PTM,并提供了丰富的资源,可用于研究这种人类病原体中可逆修饰的功能。该软件是用于基因组注释和PTM全局发现的强大工具,适用于任何已测序的原核生物;我们预计它将成为正在进行的原核生物基因组注释工作中不可或缺的一部分。GAPP可在https://sourceforge.net/projects/gappproteogenomic/上免费获取。