XLinkDB 2.0: integrated, large-scale structural analysis of protein crosslinking data

被引:49
作者
Schweppe, Devin K. [1 ]
Zheng, Chunxiang [1 ]
Chavez, Juan D. [1 ]
Navare, Arti T. [1 ]
Wu, Xia [1 ]
Eng, Jimmy K. [2 ]
Bruce, James E. [1 ]
机构
[1] Univ Washington, Dept Genome Sci, Seattle, WA 98109 USA
[2] Univ Washington Prote Resource, Seattle, WA 98109 USA
关键词
INTERACTION NETWORK; MASS-SPECTROMETRY; IDENTIFICATION; CELLS;
D O I
10.1093/bioinformatics/btw232
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Motivation: Large-scale chemical cross-linking with mass spectrometry (XL-MS) analyses are quickly becoming a powerful means for high-throughput determination of protein structural information and protein-protein interactions. Recent studies have garnered thousands of cross-linked interactions, yet the field lacks an effective tool to compile experimental data or access the network and structural knowledge for these large scale analyses. We present XLinkDB 2.0 which integrates tools for network analysis, Protein Databank queries, modeling of predicted protein structures and modeling of docked protein structures. The novel, integrated approach of XLinkDB 2.0 enables the holistic analysis of XL-MS protein interaction data without limitation to the cross-linker or analytical system used for the analysis.
引用
收藏
页码:2716 / 2718
页数:3
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