AN IMPROVED SEARCH ALGORITHM FOR AUTOMATED IDENTIFICATION OF OXIDATION SITES

这个子项目是许多利用资源的研究子项目之一 由NIH/NCRR资助的中心拨款提供。子项目的主要支持 而子项目的主要调查员可能是由其他来源提供的， 包括其它NIH来源。 列出的子项目总成本可能 代表子项目使用的中心基础设施的估计数量， 而不是由NCRR赠款提供给子项目或子项目工作人员的直接资金。 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。

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.