DEVELOPMENT OF PTMAP20 FOR GENOME-WIDE PROTEIN POSTTRANSLATIONAL MODIFICATION

用于全基因组蛋白质翻译后修饰的 PTMAP20 的开发

• 批准号: 7956366
• 负责人: YINGMING ZHAO
• 金额: $ 0.08万
• 依托单位: CARNEGIE-MELLON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-01 至 2010-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7956366
• 关键词: Biomedical Research; Cells; Chemicals; Computer Retrieval of Information on Scientific Projects Database; Computers; Data; Development; Funding; Goals; Grant; High Performance Computing; Institution; Mass Spectrum Analysis; Modification; Post-Translational Protein Processing; Proteins; Research; Research Personnel; Resources; Software Tools; Source; System; United States National Institutes of Health; abstracting; genome-wide; parallel computing; protein function; tool

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. No Abstract AvailablePosttranslational modifications (PTMs) are essential for protein functions in cell. Mass spectrometry is capable to identify PTMs with high sensitivity comparing to traditional chemical approach. We have developed a new software tool, called PTMap, that is capable to identify all-types of PTMs in a single protein from mass spectrometry data. Here, we propose to combine PTMap with the powerful computer clusters from Teragrid system and extend PTM analysis by PTMap through large-scale parallel computation. Our goal is to develop PTMap2.0 tool for a genome-wide characterization of protein posttranslational modifications.

该副本是利用众多研究子项目之一 由NIH/NCRR资助的中心赠款提供的资源。子弹和 调查员（PI）可能已经从其他NIH来源获得了主要资金， 因此可以在其他清晰的条目中代表。列出的机构是 对于中心，这不一定是调查员的机构。 对于细胞中的蛋白质功能，没有抽象的可用postranslational修饰（PTM）是必不可少的。与传统化学方法相比，质谱能够鉴定具有高灵敏度的PTM。我们已经开发了一种称为PTMAP的新软件工具，该工具能够从质谱数据中识别单个蛋白质中的PTM的全型PTM。在这里，我们建议将PTMAP与TeraGRID系统的强大计算机簇相结合，并通过大规模并行计算扩展PTM分析。我们的目标是开发PTMAP2.0工具，用于蛋白质后翻译后修饰的全基因组表征。