The Identity Algorithm: How the Most Popular Electron Ionization Mass Spectral Library Search Engine Actually Works.

IF 3.1 2区 化学 Q2 BIOCHEMICAL RESEARCH METHODS Journal of the American Society for Mass Spectrometry Pub Date : 2024-11-18 DOI:10.1021/jasms.4c00350
Andrey Samokhin
{"title":"The Identity Algorithm: How the Most Popular Electron Ionization Mass Spectral Library Search Engine Actually Works.","authors":"Andrey Samokhin","doi":"10.1021/jasms.4c00350","DOIUrl":null,"url":null,"abstract":"<p><p>The Identity algorithm implemented in the MS Search (NIST) software is widely used for library searches of gas chromatography/mass spectrometry data against electron ionization mass spectral databases. It has been available to researchers since 1993, with the release of MS Search 1.5a. Despite its extensive use, the operational details of the algorithm have remained ambiguous. Attempts to replicate the algorithm have been unsuccessful because, as found in this research, the description in the manual is neither fully complete nor accurate. The main novelty of this work is the development of a unique approach for deconstructing the Identity algorithm. It is purely based on analyzing library search results obtained from several groups of synthetic mass spectra, each tailored to isolate and examine specific components of the algorithm. This approach facilitated a comprehensive understanding of the Identity algorithm and led to the development of a custom implementation that fully replicates the results obtained from the original MS Search software. The custom implementation of the Identity algorithm is now available in the mssearchr R package, enhancing accessibility for researchers.</p>","PeriodicalId":672,"journal":{"name":"Journal of the American Society for Mass Spectrometry","volume":" ","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the American Society for Mass Spectrometry","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1021/jasms.4c00350","RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0

Abstract

The Identity algorithm implemented in the MS Search (NIST) software is widely used for library searches of gas chromatography/mass spectrometry data against electron ionization mass spectral databases. It has been available to researchers since 1993, with the release of MS Search 1.5a. Despite its extensive use, the operational details of the algorithm have remained ambiguous. Attempts to replicate the algorithm have been unsuccessful because, as found in this research, the description in the manual is neither fully complete nor accurate. The main novelty of this work is the development of a unique approach for deconstructing the Identity algorithm. It is purely based on analyzing library search results obtained from several groups of synthetic mass spectra, each tailored to isolate and examine specific components of the algorithm. This approach facilitated a comprehensive understanding of the Identity algorithm and led to the development of a custom implementation that fully replicates the results obtained from the original MS Search software. The custom implementation of the Identity algorithm is now available in the mssearchr R package, enhancing accessibility for researchers.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
身份识别算法:最受欢迎的电子电离质谱库搜索引擎究竟是如何工作的?
质谱搜索(NIST)软件中采用的 Identity 算法被广泛用于根据电子电离质谱数据库对气相色谱/质谱数据进行库搜索。自 1993 年发布 MS Search 1.5a 以来,研究人员一直可以使用该软件。尽管该算法被广泛使用,但其操作细节仍然模糊不清。复制该算法的尝试一直没有成功,因为正如本研究发现的那样,手册中的描述既不完整也不准确。这项工作的主要创新之处在于开发了一种解构身份识别算法的独特方法。该方法纯粹基于分析从几组合成质谱中获得的库搜索结果,每组合成质谱都是为分离和研究该算法的特定组成部分而量身定制的。这种方法促进了对 Identity 算法的全面理解,并开发出一种定制的实现方法,完全复制了从原始 MS 搜索软件中获得的结果。现在,Identity 算法的定制实现可在 mssearchr R 软件包中获得,从而提高了研究人员的可访问性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
5.50
自引率
9.40%
发文量
257
审稿时长
1 months
期刊介绍: The Journal of the American Society for Mass Spectrometry presents research papers covering all aspects of mass spectrometry, incorporating coverage of fields of scientific inquiry in which mass spectrometry can play a role. Comprehensive in scope, the journal publishes papers on both fundamentals and applications of mass spectrometry. Fundamental subjects include instrumentation principles, design, and demonstration, structures and chemical properties of gas-phase ions, studies of thermodynamic properties, ion spectroscopy, chemical kinetics, mechanisms of ionization, theories of ion fragmentation, cluster ions, and potential energy surfaces. In addition to full papers, the journal offers Communications, Application Notes, and Accounts and Perspectives
期刊最新文献
Molecular Oxygen (O2) Artifacts in Tandem Mass Spectra. Subcellular Proteomic Mapping of Lysine Lactylation. Structure and Stabilities of Solution and Gas Phase Protein Complexes. Hybrid Mass Spectrometry Applied across the Production of Antibody Biotherapeutics. Systematic Optimization of Activity-Based Protein Profiling for Identification of Polysorbate-Degradative Enzymes in Biotherapeutic Drug Substance down to 10 ppb.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1