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DOI码：

10.1021/acs.jproteome.2c00500

发表刊物：

Journal of Proteome Research

关键字：

cross-linking mass spectrometry; database search; peptide identification; protein feedback

摘要：

Improving the sensitivity of protein−protein interaction detection and protein structure probing is a principal challenge in cross-linking mass spectrometry (XL-MS) data analysis. In this paper, we propose an exhaustive cross-linking search method with protein feedback (ECL-PF) for cleavable XL-MS data analysis. ECL-PF adopts an optimized α/β mass detection scheme and establishes protein−peptide association during the identification of cross-linked peptides. Existing major scoring functions can all benefit from the ECL-PF workflow to a great extent. In comparisons using synthetic data sets and hybrid simulated data sets, ECL-PF achieved 3-fold higher sensitivity over standard techniques. In experiments using real data sets, it also identified 65.6% more cross-link spectrum matches and 48.7% more unique cross-links.

合写作者：

Sheng Lian, Xiaodan Fan, Ning Li, Weichuan Yu

第一作者：

Chen Zhou#, Shuaijian Dai#, Yuanqiao Lin#

论文类型：

期刊论文

文献类型：

Article

卷号：

22

期号：

1

页面范围：

101-113

ISSN号：

1535-3893

是否译文：

否

发表时间：

2022-12-08