AN IMPROVED SEARCH ALGORITHM FOR AUTOMATED IDENTIFICATION OF OXIDATION SITES

这个子项目是利用资源的许多研究子项目之一。 由NIH/NCRR资助的中心拨款提供。对子项目的主要支持 子项目的首席调查员可能是由其他来源提供的， 包括美国国立卫生研究院的其他来源。为子项目列出的总成本可能 表示该子项目使用的中心基础设施的估计数量， 不是由NCRR赠款提供给次级项目或次级项目工作人员的直接资金。 在羟基足迹实验中，数据分析是一大瓶颈。由于羟基自由基的广泛反应性和氧化产物的种类繁多，自动搜索算法识别氧化位点是非常困难的。目前，所有氧化部位的初步指定都需要人工验证和更正。开发了一个名为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研究，取得了良好的初步结果。与ByOnic的开发者合作，我们将致力于改进ByOnic，以自动识别氧化部位。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. 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.