The Protein Structure Initiative Knowledgebase

蛋白质结构倡议(PSI)知识库 我们建议创建一个信息库和Web门户，名为结构生物学 知识库(SBKB)，它将是当前结构基因组学的增强版本 知识库(SGKB)。SBKB将把PSI：生物中心的产品与来自 外部数据库和社区输入，以提供全面的顺序、结构和功能 关于结构基因组学目标跟踪数据库TargetDB中所有蛋白质序列的信息 蛋白质结构库，蛋白质数据库。此外，我们将继续与 自然出版集团将为所有有关结构生物学和基因组学的信息提供“门户”。 SGKB已将PSI工作的产品组织成七个模块(实验数据跟踪、 技术、材料、建模、注释、出版物和度量)，以便所有生物和生物医学 研究人员可以从中央“一站式商店”获取这些信息。在这份提案中，我们描述了我们的 计划增强现有模块，并提出一种新的格式来组织基础SBKB数据 四种分类观点：目标、方法、结构-序列-功能、模型枢纽。这 该方法改进了当前的单一界面方法，为用户提供了 信息。我们还在开发一个数据可视化工具，使用户能够 动态探索SBKB数据中的关系，以创建新的假设。 SBKB将在整个PSI的活动协调中发挥重要作用：生物网络和 扩展到不同的生物学领域。将使用现有系统来协调内部通信 为PSL生物学网的参与者。为了增加社区参与，我们描述了最近的一项 增强社区提名的目标系统，并提出一个新的网络工具，收集 针对结构和目标的社区注释，并支持协作。我们的目标是让SBKB 成为所有生物和生物医学社区的诱人和广泛使用的资源。

Protein Structure Initiative (PSI) Knowledgebase We propose to create an Information repository and web portal called the Structural Biology Knowledgebase (SBKB), which will be an enhanced version of the current Structural Genomics Knowledgebase (SGKB). The SBKB will integrate the products ofthe PSI:Biology centers with data from external databases and community input to provide comprehensive sequence, structural, and functional information about all protein sequences In the structural genomics target tracking database, TargetDB, and the protein structure repository, the Protein Data Bank. In addition, we willcontinue to collaborate with the Nature Publishing Group to provide a "Gateway" to all information about structural biology and genomics. The SGKB has organized the products ofthe PSI efforts into seven modules (Experimental Data Tracking, Technology, Materials, Modeling, Annotation, Publications, and Metrics) so that all biological and biomedical researchers can access this information from a central "one-stop shop". In this proposal, we describe our plan to enhance the existing modules, and propose a new format to organize the underlying SBKB data into four categorical views: the Targets, Methods, Structure-Sequence-Function, and Models Hubs. This approach improves upon the current single-interface method by providing users with focused views ofthe information. We are also in the process of developing a data visualization tool that allows users to dynamically explore relationships in the SBKB data to enable the creation of new hypotheses. The SBKB will play an important role in the coordination of activities across the PSI:Biology Network and in outreach to diverse biological fields. Existing systems will be used to coordinate internal communications for PSLBiology Network participants. In order to increase community involvement, we describe an recent enhancement to the community-nominated targets system, and propose a new web tool that collects community annotations for structures and targets and enables collaborations. Our goal is for the SBKB to become an engaging and widely-used resource for all biological and biomedical communities.