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.

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。 在羟基自由基足迹实验中，数据分析是一个主要的瓶颈。 由于羟基自由基的广泛反应性和各种各样的氧化产物，这是非常困难的自动搜索算法识别氧化位点。 目前，人工验证和校正是必要的所有初步氧化位点的分配。 开发了名为ByOnic的搜索算法，以允许自动识别各种各样的翻译后修饰。 该算法已被应用于羟基自由基足迹与有希望的初步结果。 通过与ByOnic的开发人员合作，我们将努力改进ByOnic，以自动识别氧化位点。