Cheetah-MS: a web server to model protein complexes using tandem cross-linking mass spectrometry data

被引：3

作者：

Khakzad, Hamed ^{[1
,2
]}

Happonen, Lotta ^{[3
]}

Malmstrom, Johan ^{[3
]}

Malmstrom, Lars ^{[3
]}

机构：

[1] Ecole Normale Super Paris Saclay, Equipe Signalisat Calc & Infect Microbiennes, F-91190 Gif Sur Yvette, France

[2] Inst Natl Sante & Rech Med U1282, F-91190 Gif Sur Yvette, France

[3] Lund Univ, Dept Clin Sci, Div Infect Med, SE-22184 Lund, Sweden

来源：

BIOINFORMATICS | 2021年 / 37卷 / 24期

基金：

瑞典研究理事会; 瑞士国家科学基金会;

关键词：

SOFTWARE;

D O I：

10.1093/bioinformatics/btab449

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Protein-protein interactions (PPIs) are central in many biological processes but difficult to characterize, especially in complex, unfractionated samples. Chemical cross-linking combined with mass spectrometry (MS) and computational modeling is gaining recognition as a viable tool in protein interaction studies. Here, we introduce Cheetah-MS, a web server for predicting the PPIs in a complex mixture of samples. It combines the capability and sensitivity of MS to analyze complex samples with the power and resolution of protein-protein docking. It produces the quaternary structure of the PPI of interest by analyzing tandem MS/MS data (also called MS2). Combining MS analysis and modeling increases the sensitivity and, importantly, facilitates the interpretation of the results.

引用

页码：4871 / 4872

页数：2