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Congruent Strategies for Carbohydrate Sequencing. 3. OSCAR: An Algorithm for Assigning Oligosaccharide Topology from MS~(n) Data

机译:碳水化合物测序的一致性策略。 3. OSCAR:一种从MS〜(n)数据分配寡糖拓扑的算法

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摘要

This is the third in a sequence of reports devoted to the development of congruent strategies for carbohydrate sequencing. Two previous reports outlined the strategies for observing structural detail from MS~(n) data and introduced tools that compile, search, and compare fragment spectra in a bottom-up approach to oligosaccharide sequencing. In this third report, we introduce the operational details of an algorithm that we define as the Oligosaccharide Subtree Constraint Algorithm (OSCAR). This algorithm assimilates analyst-selected MS~(n) ion fragmentation pathways into oligosaccharide topology (branching and linkage) using what may be considered a top-down sequencing strategy. Guided by a series of logical constraints, this de novo algorithm provides molecular topology without presumed biosynthetic constraints or external comparisons. In this introductory study, OSCAR is applied to a series of permethylated oligomers and isomeric glycans, and topologies are assigned in a few hundredths of a second.
机译:这是一系列致力于开发碳水化合物测序全程策略的报告中的第三篇。先前的两份报告概述了从MS〜(n)数据观察结构细节的策略,并介绍了以自下而上的寡糖测序方法编译,搜索和比较片段光谱的工具。在第三份报告中,我们介绍了一种算法的操作细节,该算法被定义为寡糖子树约束算法(OSCAR)。该算法使用自上而下的测序策略,将分析人员选择的MS〜(n)离子片段化途径同化为寡糖拓扑结构(分支和链接)。在一系列逻辑约束的指导下,此从头算法可提供分子拓扑结构,而无需假定的生物合成约束或外部比较。在本介绍性研究中,将OSCAR应用于一系列过甲基化的低聚物和异构聚糖,并在百分之一秒的时间内分配了拓扑。

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