• 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

质谱法对蛋白质进行测序。

sequencing of proteins by mass spectrometry.

机构信息

QOPNA & LAQV-REQUIMTE, Departamento De Química, Institute of Biomedicine - iBiMED , Aveiro, Portugal.

iBiMED, Department of Medical Sciences, University of Aveiro , Aveiro, Portugal.

出版信息

Expert Rev Proteomics. 2020 Jul-Aug;17(7-8):595-607. doi: 10.1080/14789450.2020.1831387. Epub 2020 Oct 21.

DOI:10.1080/14789450.2020.1831387
PMID:33016158
Abstract

INTRODUCTION

Proteins are crucial for every cellular activity and unraveling their sequence and structure is a crucial step to fully understand their biology. Early methods of protein sequencing were mainly based on the use of enzymatic or chemical degradation of peptide chains. With the completion of the human genome project and with the expansion of the information available for each protein, various databases containing this sequence information were formed.

AREAS COVERED

protein sequencing, shotgun proteomics and other mass-spectrometric techniques, along with the various software are currently available for proteogenomic analysis. Emphasis is placed on the methods for sequencing, together with potential and shortcomings using databases for interpretation of protein sequence data.

EXPERT OPINION

As mass-spectrometry sequencing performance is improving with better software and hardware optimizations, combined with user-friendly interfaces, protein sequencing becomes imperative in shotgun proteomic studies. Issues regarding unknown or mutated peptide sequences, as well as, unexpected post-translational modifications (PTMs) and their identification through false discovery rate searches using the target/decoy strategy need to be addressed. Ideally, it should become integrated in standard proteomic workflows as an add-on to conventional database search engines, which then would be able to provide improved identification.

摘要

简介

蛋白质对于细胞的每一项活动都至关重要,而揭示其序列和结构是全面了解其生物学特性的关键步骤。早期的蛋白质测序方法主要基于酶解或化学降解肽链。随着人类基因组计划的完成,以及每个蛋白质的信息量不断扩大,形成了各种包含该序列信息的数据库。

涵盖领域

蛋白质测序、鸟枪法蛋白质组学和其他质谱技术,以及目前可用于蛋白质基因组分析的各种软件。重点介绍测序方法,以及使用数据库解释蛋白质序列数据的潜力和局限性。

专家意见

随着质谱测序性能的提高,通过更好的软件和硬件优化,结合用户友好的界面,在鸟枪法蛋白质组学研究中,蛋白质测序变得至关重要。需要解决未知或突变肽序列的问题,以及通过目标/诱饵策略的错误发现率搜索进行鉴定的意外翻译后修饰 (PTMs)。理想情况下,它应该作为常规数据库搜索引擎的附加组件集成到标准蛋白质组学工作流程中,从而能够提供改进的鉴定。

相似文献

1
sequencing of proteins by mass spectrometry.质谱法对蛋白质进行测序。
Expert Rev Proteomics. 2020 Jul-Aug;17(7-8):595-607. doi: 10.1080/14789450.2020.1831387. Epub 2020 Oct 21.
2
Evaluating de novo sequencing in proteomics: already an accurate alternative to database-driven peptide identification?评估蛋白质组学中的从头测序:是否已经成为数据库驱动肽鉴定的准确替代方法?
Brief Bioinform. 2018 Sep 28;19(5):954-970. doi: 10.1093/bib/bbx033.
3
Tandem Mass Spectrum Sequencing: An Alternative to Database Search Engines in Shotgun Proteomics.串联质谱测序:鸟枪法蛋白质组学中数据库搜索引擎的替代方法
Adv Exp Med Biol. 2016;919:217-226. doi: 10.1007/978-3-319-41448-5_10.
4
A high-throughput de novo sequencing approach for shotgun proteomics using high-resolution tandem mass spectrometry.一种基于高分辨串联质谱的高通量从头测序蛋白质组学方法。
BMC Bioinformatics. 2010 Mar 5;11:118. doi: 10.1186/1471-2105-11-118.
5
De novo sequencing of unique sequence tags for discovery of post-translational modifications of proteins.用于发现蛋白质翻译后修饰的独特序列标签的从头测序。
Anal Chem. 2008 Oct 15;80(20):7742-54. doi: 10.1021/ac801123p. Epub 2008 Sep 11.
6
Algorithms for the de novo sequencing of peptides from tandem mass spectra.串联质谱肽从头测序的算法。
Expert Rev Proteomics. 2011 Oct;8(5):645-57. doi: 10.1586/epr.11.54.
7
Open-pNovo: De Novo Peptide Sequencing with Thousands of Protein Modifications.Open-pNovo:具有数千种蛋白质修饰的从头肽测序
J Proteome Res. 2017 Feb 3;16(2):645-654. doi: 10.1021/acs.jproteome.6b00716. Epub 2017 Jan 12.
8
A Potential Golden Age to Come-Current Tools, Recent Use Cases, and Future Avenues for De Novo Sequencing in Proteomics.潜在的黄金时代——蛋白质组学从头测序的当前工具、近期用例和未来途径。
Proteomics. 2018 Sep;18(18):e1700150. doi: 10.1002/pmic.201700150. Epub 2018 Aug 22.
9
VEMS 3.0: algorithms and computational tools for tandem mass spectrometry based identification of post-translational modifications in proteins.VEMS 3.0:用于基于串联质谱法鉴定蛋白质翻译后修饰的算法和计算工具
J Proteome Res. 2005 Nov-Dec;4(6):2338-47. doi: 10.1021/pr050264q.
10
Application of de Novo Sequencing to Large-Scale Complex Proteomics Data Sets.从头测序在大规模复杂蛋白质组学数据集上的应用。
J Proteome Res. 2016 Mar 4;15(3):732-42. doi: 10.1021/acs.jproteome.5b00861. Epub 2016 Jan 25.

引用本文的文献

1
molecular analysis and blocking of the viral G protein of Nipah virus interacting with ephrin B2 and B3 receptor by using peptide mass fingerprinting.利用肽质量指纹图谱对与埃菲林B2和B3受体相互作用的尼帕病毒的病毒G蛋白进行分子分析和阻断
Front Bioinform. 2025 Jun 25;5:1526566. doi: 10.3389/fbinf.2025.1526566. eCollection 2025.
2
Computational approaches for identifying neuropeptides: A comprehensive review.识别神经肽的计算方法:综述
Mol Ther Nucleic Acids. 2024 Nov 28;36(1):102409. doi: 10.1016/j.omtn.2024.102409. eCollection 2025 Mar 11.
3
Small open reading frame-encoded microproteins in cancer: identification, biological functions and clinical significance.
癌症中的小开放阅读框编码微蛋白:鉴定、生物学功能及临床意义
Mol Cancer. 2025 Apr 2;24(1):105. doi: 10.1186/s12943-025-02278-x.
4
Integration of proteomics profiling data to facilitate discovery of cancer neoantigens: a survey.整合蛋白质组学分析数据以促进癌症新抗原的发现:一项综述。
Brief Bioinform. 2025 Mar 4;26(2). doi: 10.1093/bib/bbaf087.
5
A transformer-based semi-autoregressive framework for high-speed and accurate de novo peptide sequencing.一种基于变压器的半自回归框架,用于高速且准确的从头肽测序。
Commun Biol. 2025 Feb 14;8(1):234. doi: 10.1038/s42003-025-07584-0.
6
NovoLign: metaproteomics by sequence alignment.NovoLign:通过序列比对进行宏蛋白质组学分析。
ISME Commun. 2024 Oct 12;4(1):ycae121. doi: 10.1093/ismeco/ycae121. eCollection 2024 Jan.
7
Cancer pharmacoinformatics: Databases and analytical tools.癌症药物信息学:数据库和分析工具。
Funct Integr Genomics. 2024 Sep 19;24(5):166. doi: 10.1007/s10142-024-01445-5.
8
Uncovering missing glycans and unexpected fragments with pGlycoNovo for site-specific glycosylation analysis across species.利用 pGlycoNovo 揭示物种间糖基化分析的位点特异性聚糖缺失和意外片段。
Nat Commun. 2024 Sep 14;15(1):8055. doi: 10.1038/s41467-024-52099-7.
9
Unveiling the Diversity and Modifications of Short Peptides in Scorpion Venom through Liquid Chromatography-High Resolution Mass Spectrometry.通过液相色谱-高分辨质谱揭示蝎毒液中短肽的多样性和修饰。
Toxins (Basel). 2024 Mar 16;16(3):155. doi: 10.3390/toxins16030155.
10
PGPointNovo: an efficient neural network-based tool for parallel peptide sequencing.PGPointNovo:一种用于并行肽段测序的高效神经网络工具。
Bioinform Adv. 2023 Apr 25;3(1):vbad057. doi: 10.1093/bioadv/vbad057. eCollection 2023.