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Peptide Database Search Strategies to Improve Peptide Identifications Using High Resolution Mass Spectrometry

机译:肽数据库搜索策略以使用高分辨率质谱来改善肽识别

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Bullseye offers improvements in assigning high resolution precursor masses compared to the onboard data processor of the LTQ-FT Ultra. By filtering spectra without persistent peptide isotope distributions, Bullseye is able to remove poor quality spectra which are placed in the Unmatched dataset. Database searching with a wide mass tolerance window, followed by a post-search mass accuracy filter increases the sensitivity of the positive peptide-spectrum-matches made. Database searching with a narrow mass constrained search window offers the advantage of greatly reducing the computational time needed to perform the search. Mass accuracy represents only one discriminating element that allows for distinguishing correct and incorrect PSMs. Other elements, such as enzyme cleavage specificity and predicted retention times, can be used to discriminate incorrect PSMs and when used in conjunction with mass accuracy should result in the best peptide identification results.
机译:与LTQ-FT Ultra的板载数据处理器相比,Bullseye提供了分配高分辨率前体群体的改进。通过在没有持久的肽同位素分布的情况下过滤光谱,Bullseye能够去除放置在无与伦比的数据集中的差的质量光谱。使用宽量公差窗口搜索数据库,其次是搜索后的质量精度过滤器增加了正肽谱匹配的灵敏度。使用窄群体约束搜索窗口搜索的数据库提供了大大减少执行搜索所需的计算时间的优点。质量准确性仅表示一个允许区分正确和不正确的PSM的识别元件。其他元素,例如酶切割特异性和预测的保留时间,可用于区分不正确的PSM,并且当与质量准确性结合使用时应导致最佳的肽鉴定结果。

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