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Hydrogen Rearrangement Rules: Computational MS/MS Fragmentation and Structure Elucidation Using MS-FINDER Software

机译:氢重排规则:使用MS-FINDER软件进行计算性MS / MS裂解和结构解析

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Compound identification from accurate mass MS/MS spectra is a bottleneck for untargeted metabolomics. In this study, we propose nine rules of hydrogen rearrangement (HR) during bond cleavages in low-energy collision-induced dissociation (CID). These rules are based on the classic even-electron rule and cover heteroatoms and multistage fragmentation. We evaluated our HR rules by the statistics of MassBank MS/MS spectra in addition to enthalpy calculations, yielding three levels of computational MS/ MS annotation: "resolved" (regular HR behavior following HR rules), "semiresolved" (irregular HR behavior), and "formula-assigned" (lacking structure assignment). With this nomenclature, 78.4% of a total of 18506 MS/ MS fragment ions in the MassBank database and 84.8% of a total of 36370 MS/MS fragment ions in the GNPS database were (semi-) resolved by predicted bond cleavages, We also introduce the MS-FINDER software for structure elucidation. Molecular formulas of precursor ions are determined from accurate mass, isotope ratio, and product ion information. All isomer structures of the predicted formula are retrieved from metabolome databases, and MS/MS fragmentations are predicted in silico. The structures are ranked by a combined weighting score considering bond dissociation energies, mass accuracies, fragment linkages, and, most importantly, nine HR rules. The program was validated by its ability to correctly calculate molecular formulas with 98.0% accuracy for 5063 MassBank MS/MS records and to yield the correct structural isomer with 82.1% accuracy within the top-3 candidates. In a test with 936 manually identified spectra from an untargeted HILIC-QTOF MS data set of human plasma, formulas were-correctly predicted in 90.4% of the cases, and the correct isomer structure was retrieved at 80.4% probability within the top-3 candidates, including for compounds that were absent in mass spectral libraries. The MS-FINDER software is freely available at http://prime.psc.riken,jp/.
机译:从精确的质谱MS / MS质谱图中鉴定化合物是非靶向代谢组学的瓶颈。在这项研究中,我们提出了在低能碰撞诱导离解(CID)的键裂解过程中氢重排(HR)的9条规则。这些规则基于经典的偶数电子规则,涵盖杂原子和多级碎裂。除了焓计算之外,我们还通过MassBank MS / MS频谱的统计数据评估了HR规则,产生了三个级别的MS / MS计算注解:“已解决”(遵循HR规则的常规HR行为),“半解决”(不规则HR行为)和“指定公式”(缺少结构分配)。通过这种命名,通过预测的键裂解(半)分辨了MassBank数据库中总共18506个MS / MS碎片离子的78.4%和GNPS数据库中总共36370个MS / MS碎片离子的84.8%。介绍用于结构说明的MS-FINDER软件。前体离子的分子式由准确的质量,同位素比和产物离子信息确定。从代谢组数据库中检索预测公式的所有异构体结构,并通过计算机预测MS / MS片段化。根据结合加权分数对结构进行排序,其中考虑了键离解能,质量精确度,片段连接以及最重要的是9个HR规则。该程序能够正确计算5063 MassBank MS / MS记录的98.0%准确度的分子式,并能在前3名候选对象中产生82.1%准确度的正确的结构异构体,从而验证了该程序。在一项针对来自人类血浆的非靶向HILIC-QTOF MS数据集的936种手动识别光谱的测试中,正确预测了90.4%的病例中的分子式,并且在前3名候选基因中以80.4%的概率检索了正确的异构体结构,包括质谱库中不存在的化合物。可在http://prime.psc.riken,jp/免费获得MS-FINDER软件。

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