Visant-Predictome: A System for Integration, Mining, Visualization and Analysis

Visant-Predictome：集成、挖掘、可视化和分析系统

• 批准号: 8502710
• 负责人: CHARLES DELISI
• 金额: $ 75.12万
• 依托单位: BOSTON UNIVERSITY (CHARLES RIVER CAMPUS)
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-07-01 至 2016-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8502710
• 关键词: Algorithms; Cells; Characteristics; Classification; Clinical Medicine; Communication; Complex; Computer Systems; Computing Methodologies; DNA; Data; Data Display; Data Set; Databases; Development; Disease; Drug Compounding; Drug Targeting; Equilibrium; Genbank; Gene Proteins; Genes; Genetic; Genome; Genomics; Goals; Imagery; Journals; Knowledge; Laboratories; Lead; Literature; Maps; Metabolic; Metabolic Pathway; Metabolism; Methods; Mining; Modeling; Molecular; Molecular Analysis; Movement; Mus; Network-based; Online Systems; Pathway interactions; Performance; Pharmaceutical Preparations; Phenotype; Physiological; Plug-in; Procedures; Property; Proteins; Protocols documentation; Reaction; Regulation; Reporting; Research; Resources; Science; Simulate; Site; Specific qualifier value; Structural Protein; System; Systems Biology; Systems Integration; Time; Transcriptional Regulation; Visual; Work; Writing; base; chemical reaction; design; flexibility; models and simulation; outreach; reconstruction; simulation; small molecule; text searching; tool; wiki

DESCRIPTION (provided by applicant): Project Summary A central challenge for systems biology is to transform the data deluge characteristic of the post- genomic world, into the kind of knowledge that will lead to advances in biomedical science and clinical medicine. The transformation requires computer systems that will enable organizing, mining, analyzing and displaying the data in a manner that both informs and drives new hypotheses. VisANT (a visualization, mining system) and Predictome (an integrated database component) form an online graphical workspace and interface for principled integration, mining, discovery, and analysis of molecular networks. The system currently includes, or seamlessly accesses, data sets based on some 70 laboratory and computational methods, and more than 100 species. It has a distinguished and active advisory Board, more than 1000 registered users, is accessed by more than 1100 independent sites per month and has been cited approximately 300 times in the scientific literature. We propose substantially expanding the range of VisANT by including metabolic, chemical reaction, drug and disease related data. Equally importantly, a central goal of VisANT has been integration, and we will substantially extend its integrative capabilities, enabling the identification of disease related pathways, of similarities in mechanisms between phenotypically distinct diseases, and the identification of potential lead compounds for therapy. At the same time we propose substantial expansion of our outreach activities, and movement toward a true many-to many communication and discovery system.

描述（由申请人提供）：项目摘要系统生物学的一个中心挑战是将后基因组世界的数据洪水特征转化为将导致生物医学科学和临床医学进步的知识。这种转变需要计算机系统能够以一种既能告知又能驱动新假设的方式组织、挖掘、分析和显示数据。VisANT（可视化，挖掘系统）和Predictome（集成数据库组件）形成了一个在线图形工作空间和界面，用于分子网络的原则性集成，挖掘，发现和分析。该系统目前包括或无缝访问基于约70种实验室和计算方法以及100多个物种的数据集。它有一个杰出而活跃的咨询委员会，超过1000名注册用户，每月有1100多个独立网站访问，在科学文献中被引用约300次。我们建议通过包括代谢、化学反应、药物和疾病相关数据来大幅扩展VisANT的范围。同样重要的是，VisANT的一个中心目标是整合，我们将大大扩展其整合能力，从而能够识别疾病相关途径，识别表型不同疾病之间机制的相似性，并识别潜在的治疗先导化合物。与此同时，我们建议大幅扩大我们的外展活动，并朝着一个真正的多对多的沟通和发现系统的运动。