LinX: A Software Tool for Uncommon Cross-Linking Chemistry

被引:6
|
作者
Kukacka, Zdenek [1 ]
Rosulek, Michal [1 ,2 ]
Jelinek, Jan [1 ,3 ]
Slavata, Lukas [1 ,2 ]
Kavan, Daniel [1 ,2 ]
Novak, Petr [1 ,2 ]
机构
[1] Czech Acad Sci, Inst Microbiol Vvi, Prague 14220, Czech Republic
[2] Charles Univ Prague, Fac Sci, Dept Biochem, Prague 12800 2, Czech Republic
[3] Charles Univ Prague, Fac Math & Phys, Dept Software Engn, Prague 120002, Czech Republic
基金
欧盟地平线“2020”;
关键词
mass spectrometry; high resolution; chemical cross-linking; proteins; homo oligomers; nucleic acids; data interpretation;
D O I
10.1021/acs.jproteome.0c00858
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Chemical cross-linking mass spectrometry has become a popular tool in structural biology. Although several algorithms exist that efficiently analyze data-dependent mass spectrometric data, the algorithm to identify and quantify intermolecular cross-links located at the interaction interface of homodimer molecules was missing. The algorithm in LinX utilizes high mass accuracy for ion identification. In contrast with standard data-dependent analysis, LinX enables the elucidation of cross-linked peptides originating from the interaction interface of homodimers labeled by N-14/N-15, including their ratio or crosslinks from protein-nucleic acid complexes. The software is written in Java language, and its source code and a detailed user's guide are freely available at https://github.com/KukackaZ/LinX or https://ms-utils.org/LinX. Data are accessible via the ProteomeXchange server with the data set identifier PXD023522.
引用
收藏
页码:2021 / 2027
页数:7
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