作者通过他的方法确定:EuPA解决了YPIC挑战

Q4 Biochemistry, Genetics and Molecular Biology
M.I. Indeykina , D.A. Podgrudkov , A.S. Kononikhin
{"title":"作者通过他的方法确定:EuPA解决了YPIC挑战","authors":"M.I. Indeykina ,&nbsp;D.A. Podgrudkov ,&nbsp;A.S. Kononikhin","doi":"10.1016/j.euprot.2018.10.001","DOIUrl":null,"url":null,"abstract":"<div><p>Here we present the results of our attempt on the EuPA YPIC challenge. The task was to sequence the provided synthetic peptides, build the sentence encrypted in them and determine from which book the sentence originated.</p><p>The task itself, while holding no direct scientific value, offers an insight in less formal terms (for participants at least) on how the overall process of a scientific study of a “new protein” looks like. Hence, we decided to look at the challenge as if it was a general task of sequencing an unknown protein from an unusual proteome database. To solve the task we used LC–MS/MS, MALDI-MS and de novo sequencing. A combination of two MS instruments and de novo MS/MS data analysis make it possible to sequence new peptides and proteins not yet present in proteomic databases.</p></div>","PeriodicalId":38260,"journal":{"name":"EuPA Open Proteomics","volume":"20 ","pages":"Pages 1-8"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.euprot.2018.10.001","citationCount":"1","resultStr":"{\"title\":\"The author identified by his method: EuPA YPIC challenge solved\",\"authors\":\"M.I. Indeykina ,&nbsp;D.A. Podgrudkov ,&nbsp;A.S. Kononikhin\",\"doi\":\"10.1016/j.euprot.2018.10.001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Here we present the results of our attempt on the EuPA YPIC challenge. The task was to sequence the provided synthetic peptides, build the sentence encrypted in them and determine from which book the sentence originated.</p><p>The task itself, while holding no direct scientific value, offers an insight in less formal terms (for participants at least) on how the overall process of a scientific study of a “new protein” looks like. Hence, we decided to look at the challenge as if it was a general task of sequencing an unknown protein from an unusual proteome database. To solve the task we used LC–MS/MS, MALDI-MS and de novo sequencing. A combination of two MS instruments and de novo MS/MS data analysis make it possible to sequence new peptides and proteins not yet present in proteomic databases.</p></div>\",\"PeriodicalId\":38260,\"journal\":{\"name\":\"EuPA Open Proteomics\",\"volume\":\"20 \",\"pages\":\"Pages 1-8\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.euprot.2018.10.001\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"EuPA Open Proteomics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2212968517300156\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Biochemistry, Genetics and Molecular Biology\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"EuPA Open Proteomics","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212968517300156","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
引用次数: 1

摘要

在这里,我们展示了我们对EuPA YPIC挑战的尝试结果。任务是对提供的合成肽进行排序,构建其中加密的句子,并确定句子来自哪本书。这项任务本身,虽然没有直接的科学价值,但至少对参与者来说,它提供了一种不那么正式的见解,让他们了解一种“新蛋白质”的科学研究的整个过程是怎样的。因此,我们决定把这个挑战看作是从一个不寻常的蛋白质组数据库中对未知蛋白质进行测序的一般任务。为了解决这个问题,我们使用了LC-MS /MS, MALDI-MS和de novo测序。两种MS仪器的组合和从头开始的MS/MS数据分析使得对蛋白质组学数据库中尚未存在的新肽和蛋白质进行测序成为可能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The author identified by his method: EuPA YPIC challenge solved

The author identified by his method: EuPA YPIC challenge solved

Here we present the results of our attempt on the EuPA YPIC challenge. The task was to sequence the provided synthetic peptides, build the sentence encrypted in them and determine from which book the sentence originated.

The task itself, while holding no direct scientific value, offers an insight in less formal terms (for participants at least) on how the overall process of a scientific study of a “new protein” looks like. Hence, we decided to look at the challenge as if it was a general task of sequencing an unknown protein from an unusual proteome database. To solve the task we used LC–MS/MS, MALDI-MS and de novo sequencing. A combination of two MS instruments and de novo MS/MS data analysis make it possible to sequence new peptides and proteins not yet present in proteomic databases.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
EuPA Open Proteomics
EuPA Open Proteomics Biochemistry, Genetics and Molecular Biology-Biochemistry
自引率
0.00%
发文量
0
审稿时长
103 days
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信