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.

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 翻译后修饰（Posttranslational modifications，PTM）是细胞内蛋白质功能的重要组成部分.与传统的化学方法相比，质谱法能够以高灵敏度鉴定PTM。我们开发了一种新的软件工具，称为PTMap，它能够从质谱数据中识别单个蛋白质中所有类型的PTM。在这里，我们建议将联合收割机PTMap与Teragrid系统的强大计算机集群相结合，通过大规模并行计算扩展PTMap的PTM分析。我们的目标是开发PTMap2.0工具，用于全基因组蛋白质翻译后修饰的表征。