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首页> 外文期刊>Proteomics >Understanding the improved sensitivity of spectral library searching over sequence database searching in proteomics data analysis.
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Understanding the improved sensitivity of spectral library searching over sequence database searching in proteomics data analysis.

机译：了解蛋白质组学数据分析中谱库搜索优于序列数据库搜索的敏感性。

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Spectral library searching has been recently proposed as an alternative to sequence database searching for peptide identification from MS/MS. We performed a systematic comparison between spectral library searching and sequence database searching using a wide variety of data to better demonstrate, and understand, the superior sensitivity of the former observed in preliminary studies. By decoupling the effect of search space, we demonstrated that the success of spectral library searching is primarily attributable to the use of real library spectra for matching, without which the sensitivity advantage largely disappears. We further determined the extent to which the use of real peak intensities and non-canonical fragments, both under-utilized information in sequence database searching, contributes to the sensitivity advantage. Lastly, we showed that spectral library searching is disproportionately more successful in identifying low-quality spectra, and complex spectra of higher- charged precursors, both important frontiers in peptide sequencing. Our results answered important outstanding questions about this promising yet unproven method using well-controlled computational experiments and sound statistical approaches.
机译：最近提出了光谱库搜索作为序列数据库搜索的替代方法，以从MS / MS进行肽鉴定。我们使用大量数据在光谱库搜索和序列数据库搜索之间进行了系统的比较，以更好地证明和理解在初步研究中观察到的前者的优越灵敏度。通过解耦搜索空间的影响，我们证明了光谱库搜索的成功主要归因于使用真实库光谱进行匹配，否则，灵敏度优势将大大消失。我们进一步确定了在序列数据库搜索中使用不足的信息，即实际峰强度和非规范片段的使用有助于提高灵敏度的程度。最后，我们表明，谱库搜索在鉴定低质量谱图和电荷较高的前体的复杂谱图方面取得了不成比例的成功，这两者都是肽测序的重要领域。我们的结果回答了有关使用控制良好的计算实验和合理的统计方法的这一有前途但尚未得到验证的方法的重要悬而未决的问题。

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