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TagDict: Prediction of Theoretical Spectra of Peptides Based on A Tag Dictionary

机译:Tagdict:基于标签词典预测肽的理论光谱

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摘要

Background: Tandem mass spectrometry (MS/MS) peptide identification is an important research topic in molecular biology; the comparison between an experimental spectrum and a theoretically predicted spectrum is a crucial step for many identification methods. Consequently, the accurate prediction of the theoretical spectrum from a peptide sequence can potentially improve the performance of peptide identification and is a significant problem for mass spectrometry-based proteomics.
机译:背景:串联质谱(MS / MS)肽鉴定是分子生物学中的重要研究课题; 实验频谱和理论上预测光谱之间的比较是许多识别方法的关键步骤。 因此,来自肽序列的理论光谱的精确预测可以潜在地改善肽鉴定的性能,并且是基于质谱的蛋白质组学的显着问题。

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