Chapter 2. De novo Peptide Sequencing

B. Ma
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Abstract

De novo peptide sequencing refers to the process of determining a peptide’s amino acid sequence from its MS/MS spectrum alone. The principle of this process is fairly straightforward: a high-quality spectrum may present a ladder of fragment ion peaks. The mass difference between every two adjacent peaks in the ladder is used to determine a residue of the peptide. However, most practical spectra do not have sufficient quality to support this straightforward process. Therefore, research in de novo sequencing has largely been a battle against the errors in the data. This chapter reviews some of the major developments in this field. The chapter starts with a quick review of the history in Section 1. Then manual de novo sequencing is examined in Section 2. Section 3 introduces a few commonly used de novo sequencing algorithms. An important aspect of automated de novo sequencing software is a good scoring function that serves as the optimization goal of the algorithm. Thus, Section 4 is devoted for the methods to define good scoring functions. Section 5 reviews a list of relevant software. The chapter concludes with a discussion of the applications and limitations of de novosequencing in Section 6.
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第二章。从头肽测序
De novo peptide sequencing是指仅从肽的MS/MS谱确定肽的氨基酸序列的过程。这个过程的原理相当简单:一个高质量的光谱可能呈现一个片段离子峰的阶梯。梯子中每两个相邻峰之间的质量差用于确定肽的残基。然而,大多数实际的光谱没有足够的质量来支持这个简单的过程。因此,从头测序的研究在很大程度上是一场与数据错误的斗争。本章回顾了这一领域的一些主要发展。本章以第1节对历史的快速回顾开始。然后在第2节中检查手动从头测序。第3节介绍了几种常用的从头排序算法。自动化从头测序软件的一个重要方面是良好的评分功能,作为算法的优化目标。因此,第4节将专门介绍定义好的评分函数的方法。第5节回顾了相关软件的列表。本章最后在第6节讨论了de novosequencing的应用和局限性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Chapter 8. MS2-Based Quantitation Chapter 10. Data Analysis for Data Independent Acquisition Chapter 16. Proteomics Informed by Transcriptomics Chapter 3. Peptide Spectrum Matching via Database Search and Spectral Library Search Chapter 1. Introduction to Proteome Informatics
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