AN IMPROVED SEARCH ALGORITHM FOR AUTOMATED IDENTIFICATION OF OXIDATION SITES

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 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. 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.