Department of Chemistry, University of Wisconsin-Madison, Madison, WI 53706, USA.
Proteomics. 2010 Jan;10(1):164-7. doi: 10.1002/pmic.200900570.
Collision-activated dissociation and electron-transfer dissociation (ETD) each produce spectra containing unique features. Though several database search algorithms (e.g. SEQUEST, MASCOT, and Open Mass Spectrometry Search Algorithm) have been modified to search ETD data, this consists chiefly of the ability to search for c- and z(*)-ions; additional ETD-specific features are often unaccounted for and may hinder identification. Removal of these features via spectral processing increased total search sensitivity by approximately 20% for both human and yeast data sets; unique peptide identifications increased by approximately 17% for the yeast data sets and approximately 16% for the human data set.
碰撞激活解离和电子转移解离 (ETD) 各自产生具有独特特征的谱图。虽然已经有几种数据库搜索算法(例如 SEQUEST、MASCOT 和 Open Mass Spectrometry Search Algorithm)被修改为搜索 ETD 数据,但这主要包括搜索 c- 和 z(*)-离子的能力;其他 ETD 特定的特征通常未被考虑在内,可能会阻碍鉴定。通过光谱处理去除这些特征,大约可使人类和酵母数据集的总搜索灵敏度提高约 20%;酵母数据集的独特肽鉴定增加约 17%,人类数据集的独特肽鉴定增加约 16%。