Suppr超能文献

PPDB,康奈尔大学的植物蛋白质组学数据库。

PPDB, the Plant Proteomics Database at Cornell.

作者信息

Sun Qi, Zybailov Boris, Majeran Wojciech, Friso Giulia, Olinares Paul Dominic B, van Wijk Klaas J

机构信息

Computation Biology Service Unit, Cornell Theory Center, Cornell University, Ithaca, NY 14853, USA.

出版信息

Nucleic Acids Res. 2009 Jan;37(Database issue):D969-74. doi: 10.1093/nar/gkn654. Epub 2008 Oct 2.

Abstract

The Plant Proteomics Database (PPDB; http://ppdb.tc.cornell.edu), launched in 2004, provides an integrated resource for experimentally identified proteins in Arabidopsis and maize (Zea mays). Internal BLAST alignments link maize and Arabidopsis information. Experimental identification is based on in-house mass spectrometry (MS) of cell type-specific proteomes (maize), or specific subcellular proteomes (e.g. chloroplasts, thylakoids, nucleoids) and total leaf proteome samples (maize and Arabidopsis). So far more than 5000 accessions both in maize and Arabidopsis have been identified. In addition, more than 80 published Arabidopsis proteome datasets from subcellular compartments or organs are stored in PPDB and linked to each locus. Using MS-derived information and literature, more than 1500 Arabidopsis proteins have a manually assigned subcellular location, with a strong emphasis on plastid proteins. Additional new features of PPDB include searchable posttranslational modifications and searchable experimental proteotypic peptides and spectral count information for each identified accession based on in-house experiments. Various search methods are provided to extract more than 40 data types for each accession and to extract accessions for different functional categories or curated subcellular localizations. Protein report pages for each accession provide comprehensive overviews, including predicted protein properties, with hyperlinks to the most relevant databases.

摘要

植物蛋白质组数据库(PPDB;http://ppdb.tc.cornell.edu)于2004年推出,为拟南芥和玉米(Zea mays)中通过实验鉴定的蛋白质提供了一个综合资源。内部BLAST比对将玉米和拟南芥的信息联系起来。实验鉴定基于对细胞类型特异性蛋白质组(玉米)、特定亚细胞蛋白质组(如叶绿体、类囊体、核仁)以及总叶蛋白质组样本(玉米和拟南芥)的内部质谱分析。到目前为止,已经鉴定出玉米和拟南芥中的5000多个登录号。此外,PPDB中存储了80多个已发表的来自亚细胞区室或器官的拟南芥蛋白质组数据集,并与每个基因座相关联。利用质谱衍生信息和文献,1500多个拟南芥蛋白质被手动指定了亚细胞定位,其中重点是质体蛋白质。PPDB的其他新功能包括可搜索的翻译后修饰、可搜索的实验性蛋白型肽以及基于内部实验为每个鉴定的登录号提供的光谱计数信息。提供了各种搜索方法,以提取每个登录号的40多种数据类型,并提取不同功能类别或经策划的亚细胞定位的登录号。每个登录号的蛋白质报告页面提供了全面的概述,包括预测的蛋白质特性,并带有指向最相关数据库的超链接。

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