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PDBe-KB: a community-driven resource for structural and functional annotations.
Nucleic Acids Research ( IF 16.6 ) Pub Date : 2020-01-08 , DOI: 10.1093/nar/gkz853
, Mihaly Varadi 1 , John Berrisford 1 , Mandar Deshpande 1 , Sreenath S Nair 1 , Aleksandras Gutmanas 1 , David Armstrong 1 , Lukas Pravda 1 , Bissan Al-Lazikani 2 , Stephen Anyango 1 , Geoffrey J Barton 3 , Karel Berka 4 , Tom Blundell 5 , Neera Borkakoti 1 , Jose Dana 1 , Sayoni Das 6 , Sucharita Dey 7 , Patrizio Di Micco 2 , Franca Fraternali 8 , Toby Gibson 9 , Manuela Helmer-Citterich 10 , David Hoksza 11, 12 , Liang-Chin Huang 13 , Rishabh Jain 9 , Harry Jubb 14 , Christos Kannas 2 , Natarajan Kannan 13 , Jaroslav Koca 15, 16 , Radoslav Krivak 11 , Manjeet Kumar 9 , Emmanuel D Levy 7 , F Madeira 1 , M S Madhusudhan 17 , Henry J Martell 18 , Stuart MacGowan 3 , Jake E McGreig 18 , Saqib Mir 1 , Abhik Mukhopadhyay 1 , Luca Parca 10 , Typhaine Paysan-Lafosse 1 , Leandro Radusky 19 , Antonio Ribeiro 1 , Luis Serrano 19 , Ian Sillitoe 6 , Gulzar Singh 17 , Petr Skoda 11 , Radka Svobodova 15, 16 , Jonathan Tyzack 1 , Alfonso Valencia 20 , Eloy Villasclaras Fernandez 2 , Wim Vranken 21 , Mark Wass 18 , Janet Thornton 1 , Michael Sternberg 22 , Christine Orengo 6 , Sameer Velankar 1
Affiliation  

The Protein Data Bank in Europe-Knowledge Base (PDBe-KB, https://pdbe-kb.org) is a community-driven, collaborative resource for literature-derived, manually curated and computationally predicted structural and functional annotations of macromolecular structure data, contained in the Protein Data Bank (PDB). The goal of PDBe-KB is two-fold: (i) to increase the visibility and reduce the fragmentation of annotations contributed by specialist data resources, and to make these data more findable, accessible, interoperable and reusable (FAIR) and (ii) to place macromolecular structure data in their biological context, thus facilitating their use by the broader scientific community in fundamental and applied research. Here, we describe the guidelines of this collaborative effort, the current status of contributed data, and the PDBe-KB infrastructure, which includes the data exchange format, the deposition system for added value annotations, the distributable database containing the assembled data, and programmatic access endpoints. We also describe a series of novel web-pages-the PDBe-KB aggregated views of structure data-which combine information on macromolecular structures from many PDB entries. We have recently released the first set of pages in this series, which provide an overview of available structural and functional information for a protein of interest, referenced by a UniProtKB accession.

中文翻译:


PDBe-KB:社区驱动的结构和功能注释资源。



欧洲蛋白质数据库知识库(PDBe-KB,https://pdbe-kb.org)是一个社区驱动的协作资源,用于基于文献、手动策划和计算预测的大分子结构数据的结构和功能注释,包含在蛋白质数据库(PDB)中。 PDBe-KB 的目标有两个:(i) 提高专业数据资源贡献的注释的可见性并减少碎片,并使这些数据更易于查找、访问、互操作和可重用 (公平) 和 (ii)将大分子结构数据置于其生物学背景中,从而促进更广泛的科学界在基础和应用研究中使用它们。在这里,我们描述了这项协作工作的指导方针、贡献数据的当前状态以及 PDBe-KB 基础设施,其中包括数据交换格式、增值注释的沉积系统、包含组装数据的分布式数据库以及程序化数据库。访问端点。我们还描述了一系列新颖的网页——结构数据的 PDBe-KB 聚合视图——它结合了来自许多 PDB 条目的大分子结构信息。我们最近发布了本系列的第一组页面,其中概述了感兴趣的蛋白质的可用结构和功能信息,由 UniProtKB 登录引用。
更新日期:2020-01-06
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