AN IMPROVED SEARCH ALGORITHM FOR AUTOMATED IDENTIFICATION OF OXIDATION SITES

自动识别氧化位点的改进搜索算法

• 批准号: 8168869
• 负责人: JOSHUA S SHARP
• 金额: $ 3.37万
• 依托单位: UNIVERSITY OF GEORGIA
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-04-10 至 2011-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8168869
• 关键词: Algorithms; Collaborations; Computer Retrieval of Information on Scientific Projects Database; Data Analyses; Funding; Grant; Hydroxyl Radical; Institution; Manuals; Names; Post-Translational Protein Processing; Research; Research Personnel; Resources; Site; Source; United States National Institutes of Health; Validation; Work; improved; oxidation; research study

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. In hydroxyl radical footprinting experiments, one of the major bottlenecks is in the data analysis. Due to the broad reactivity of hydroxyl radicals and the wide variety of oxidation products, it is very difficult to automate search algorithms for identification of sites of oxidation. Currently, manual validation and correction is necessary for all preliminary oxidation site assignments. A search algorithm named ByOnic was developed to allow for automated identification of a wide variety of post-translational modifications. This algorithm has been applied to hydroxyl radical footprinting with promising preliminary results. In collaboration with the developer of ByOnic, we will work to improve ByOnic for automated identification of sites of oxidation.

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。 在羟基自由基足迹实验中，数据分析中的主要瓶颈之一。 由于羟基自由基和各种氧化产物的反应性广泛，因此很难自动化搜索算法以鉴定氧化位点。 当前，所有初步氧化位点分配都是必要的手动验证和校正。 开发了一种名为Byonic的搜索算法，以允许自动识别各种翻译后修改。 该算法已应用于羟基自由基足迹，并具有令人鼓舞的初步结果。 与Byonic的开发商合作，我们将努力改善Byonic的自动识别氧化位点。