单通道数据库搜索中蛋白质翻译后修饰的全局鉴定

Shortreed Michael R, Wenger Craig D, Frey Brian L, Sheynkman Gloria M, Scalf Mark, Keller Mark P, Attie Alan D, Smith Lloyd M

Department of Chemistry and ‡Department of Biochemistry, University of Wisconsin , Madison, Wisconsin 53706, United States.

J Proteome Res. 2015 Nov 6;14(11):4714-20. doi: 10.1021/acs.jproteome.5b00599. Epub 2015 Sep 29.

Bottom-up proteomics database search algorithms used for peptide identification cannot comprehensively identify post-translational modifications (PTMs) in a single-pass because of high false discovery rates (FDRs). A new approach to database searching enables global PTM (G-PTM) identification by exclusively looking for curated PTMs, thereby avoiding the FDR penalty experienced during conventional variable modification searches. We identified over 2200 unique, high-confidence modified peptides comprising 26 different PTM types in a single-pass database search.

由于高错误发现率（FDR），用于肽段鉴定的自下而上蛋白质组学数据库搜索算法无法在单次搜索中全面鉴定翻译后修饰（PTM）。一种新的数据库搜索方法通过专门寻找经过整理的PTM来实现全局PTM（G-PTM）鉴定，从而避免了传统可变修饰搜索中出现的FDR惩罚。我们在单次数据库搜索中鉴定出了超过2200个独特的、高可信度的修饰肽段，这些肽段包含26种不同的PTM类型。