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RAId_DbS:基于质谱的肽段鉴定网络服务器,具备知识整合功能。

RAId_DbS: mass-spectrometry based peptide identification web server with knowledge integration.

作者信息

Alves Gelio, Ogurtsov Aleksey Y, Yu Yi-Kuo

机构信息

National Center for Biotechnology Information, National Library of Medicine, NIH, Bethesda, MD 20894, USA.

出版信息

BMC Genomics. 2008 Oct 27;9:505. doi: 10.1186/1471-2164-9-505.

Abstract

BACKGROUND

Existing scientific literature is a rich source of biological information such as disease markers. Integration of this information with data analysis may help researchers to identify possible controversies and to form useful hypotheses for further validations. In the context of proteomics studies, individualized proteomics era may be approached through consideration of amino acid substitutions/modifications as well as information from disease studies. Integration of such information with peptide searches facilitates speedy, dynamic information retrieval that may significantly benefit clinical laboratory studies.

DESCRIPTION

We have integrated from various sources annotated single amino acid polymorphisms, post-translational modifications, and their documented disease associations (if they exist) into one enhanced database per organism. We have also augmented our peptide identification software RAId_DbS to take into account this information while analyzing a tandem mass spectrum. In principle, one may choose to respect or ignore the correlation of amino acid polymorphisms/modifications within each protein. The former leads to targeted searches and avoids scoring of unnecessary polymorphism/modification combinations; the latter explores possible polymorphisms in a controlled fashion. To facilitate new discoveries, RAId_DbS also allows users to conduct searches permitting novel polymorphisms as well as to search a knowledge database created by the users.

CONCLUSION

We have finished constructing enhanced databases for 17 organisms. The web link to RAId_DbS and the enhanced databases is http://www.ncbi.nlm.nih.gov/CBBResearch/qmbp/RAId_DbS/index.html. The relevant databases and binaries of RAId_DbS for Linux, Windows, and Mac OS X are available for download from the same web page.

摘要

背景

现有的科学文献是诸如疾病标志物等生物信息的丰富来源。将这些信息与数据分析相结合,可能有助于研究人员识别潜在的争议,并形成有用的假设以供进一步验证。在蛋白质组学研究的背景下,通过考虑氨基酸替换/修饰以及疾病研究的信息,可能会进入个性化蛋白质组学时代。将这些信息与肽段搜索相结合,有助于快速、动态地检索信息,这可能会显著有益于临床实验室研究。

描述

我们已从各种来源整合了注释的单氨基酸多态性、翻译后修饰及其已记录的疾病关联(如果存在),为每个生物体构建了一个增强型数据库。我们还增强了我们的肽段识别软件RAId_DbS,以便在分析串联质谱时考虑这些信息。原则上,人们可以选择考虑或忽略每种蛋白质内氨基酸多态性/修饰的相关性。前者导致靶向搜索,并避免对不必要的多态性/修饰组合进行评分;后者以可控的方式探索可能的多态性。为便于新发现,RAId_DbS还允许用户进行允许新多态性的搜索,以及搜索用户创建的知识数据库。

结论

我们已完成了针对17种生物体的增强型数据库的构建。RAId_DbS和增强型数据库的网页链接为http://www.ncbi.nlm.nih.gov/CBBResearch/qmbp/RAId_DbS/index.html。RAId_DbS针对Linux、Windows和Mac OS X的相关数据库和二进制文件可从同一网页下载。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/954e/2605478/97a61b211934/1471-2164-9-505-1.jpg

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