User Interface Portal

用户界面门户

• 批准号: 8934411
• 负责人: Joel Thomas Dudley
• 金额: $ 7.21万
• 依托单位: ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-08-01 至 2016-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8934411
• 关键词: Adverse effects; Architecture; Back; Biology; Biotechnology; Cell Line; Clinical Data; Communities; Complex; Data; Data Analyses; Data Set; Databases; Deposition; Disease; Documentation; Drug Targeting; Gene Expression Profile; Gene Proteins; Genes; Genetic; Genome; Genomics; Glean; Goals; Imagery; Individual; Information Resources Management; Internet; Knockout Mice; Knowledge; Learning; Link; Literature; Maps; Methods; Modeling; Molecular Profiling; Mus; Mutation; Online Systems; Ontology; Patients; Pharmaceutical Preparations; Phenotype; Phosphoproteins; Plug-in; Post-Translational Protein Processing; Property; Proteins; Regulation; Research; Resources; Suggestion; System; Systems Biology; Technology; Tissues; Training; Transcriptional Regulation; Visual; base; cohort; design; experience; genome-wide; graphical user interface; indexing; novel; protein protein interaction; protein structure; small molecule; structural biology; technology development; three dimensional structure; tool; transcription factor; web page; web site

The User Interface Portal (UIP) of the Mount Sinai's KMC-IDG will develop a state-of-the-art web-site that would host the presentation and access to the data collected by the DOC. The web-site will have a dedicated page of each under-studied druggable target with different plug-in tools to explore the various aspects of each target including: protein structure, protein-protein interactions, regulation by transcription factors, mouse phenotypes, expression profiles in different tissues and conditions, mouse knockout phenotypes, gene ontology information, post-translational modification and many more. In addition, the portal will enable interactive visualization of various applications that will place the under-studied targets within networks made of cohorts of patients, cell lines, diseases/side-effects/phenotypes, drugs and other genes and proteins. The UIP will have a powerful search engine that would index all entities in the DOC and will learn from user experience. The UIP will enable users to build their own data analysis pipelines based on the user specific needs. In addition, the UIP will be designed in a plug-in architecture to enable the community to contribute data analysis and visualization tools.

西奈山KMC-IDG的用户界面门户（UIP）将开发一个最先进的网站，该网站将托管DOC收集的数据的演示和访问。该网站将有一个专门的页面，每个正在研究的药物靶点都有不同的插件工具，以探索每个靶点的各个方面，包括：蛋白质结构，蛋白质-蛋白质相互作用，转录因子的调节，小鼠表型，不同组织和条件下的表达谱，小鼠敲除表型，基因本体信息，翻译后修饰等等。此外，该门户网站将实现各种应用程序的交互式可视化，这些应用程序将把研究不足的目标置于由患者、细胞系、疾病/副作用/表型、药物和其他基因和蛋白质组成的网络中。UIP将有一个强大的搜索引擎，将索引DOC中的所有实体，并将从用户经验中学习。UIP将使用户能够根据用户的具体需求建立自己的数据分析管道。此外，UIP将采用插件架构设计，使社区能够提供数据分析和可视化工具。