RADARS- A RAPID DATA ARCHIVAL AND RETRIEVAL SYSTEM

雷达 - 快速数据归档和检索系统

• 批准号: 6019594
• 负责人: David Fenyo
• 金额: $ 37.92万
• 依托单位: PROTEOMETRICS
• 依托单位国家: 美国
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-08-15 至 2001-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6019594
• 关键词: computer data analysis; computer program /software; computer system design /evaluation; data management; genome; informatics; information retrieval; mass spectrometry; molecular biology information system; posttranslational modifications; protein sequence; protein structure

In the wake of the human genome project, the next important step towards understanding and curing human disease is the characterization of all mature gene products that are encoded in the genome, i.e. the proteome. For example, knowledge of the difference between normal and transformed cells in terms of which proteins are present and how they are post-translationally modified is important information for understanding cancer. Mass spectrometry is a powerful experimental tool for high- throughput identification and characterization of proteins and provides means for rapidly obtaining large amounts of valuable experimental data. However, the analysis of this data can be very time-consuming, and presently no integrated system exists for facile analysis, reliable storage and fast retrieval of protein mass spectra and protein sequences. We propose to develop a Rapid Data Archival and Retrieval System (RADARS) for the storage of protein mass spectrometry experiments; the system will be integrated with a suite of tools for the fully automated analysis and comparison of protein mass spectra and protein and DNA sequences. RADARS will allow for storage of the original mass spectra, description of the experimental conditions, and the results of the analysis performed. PROPOSED COMMERCIAL APPLICATIONS: The proposed fully automated system for fast analysis of experimental data from high-throughput proteome projects will find its application in the discovery and validation of new drug targets and disease markers. Its seamless integration between data analysis and data storage will ensure RADARS dominance in the market of proteome analysis.

在人类基因组计划之后，理解和治疗人类疾病的下一个重要步骤是表征基因组中编码的所有成熟基因产物，即蛋白质组。例如，了解正常细胞和转化细胞之间存在哪些蛋白质以及它们如何在转化后修饰的差异，对于理解癌症是重要的信息。质谱是一种强有力的实验工具，用于高通量鉴定和表征蛋白质，并提供了快速获得大量有价值的实验数据的手段。然而，这些数据的分析可能非常耗时，并且目前不存在用于蛋白质质谱和蛋白质序列的简易分析、可靠存储和快速检索的集成系统。我们建议开发一个快速数据存档和检索系统（RADARS）的蛋白质质谱实验的存储，该系统将集成一套工具，用于全自动分析和比较蛋白质质谱和蛋白质和DNA序列。RADARS将允许存储原始质谱、实验条件的描述以及所执行的分析结果。拟议的商业应用：所提出的用于快速分析来自高通量蛋白质组项目的实验数据的全自动系统将在新药靶点和疾病标志物的发现和验证中找到其应用。数据分析和数据存储之间的无缝集成将确保RADARS在蛋白质组分析市场的主导地位。