xiVIEW: Visualisation of Crosslinking Mass Spectrometry Data
Colin W Combe1, Martin Graham1, Lars Kolbowski2
1University of Edinburgh, School of Biological Sciences, Edinburgh EH9 3JR, UK.
Journal of Molecular Biology
|September 5, 2024
Summary
Researchers developed xiVIEW, a web-based tool for analyzing crosslinking mass spectrometry (MS) data. This application integrates mass spectrometry results with network and structural visualizations, aiding biological mechanism investigations.
Area of Science:
- Biochemistry
- Structural Biology
- Bioinformatics
Background:
- Crosslinking mass spectrometry (MS) is crucial for determining protein complex structures and interaction networks.
- A lack of integrated visualization tools hinders the use of crosslinking MS data for biological insights.
Purpose of the Study:
- To develop xiVIEW, a web-based application for streamlined crosslinking MS data analysis.
- To provide a user-friendly platform integrating diverse data types for biological investigation.
Main Methods:
- Development of a web-based application, xiVIEW.
- Integration of mass spectrometric data, network visualization, UniProtKB annotations, and 3D structures.
- Implementation of a standards-compliant parser for improved data integration.
Main Results:
- xiVIEW offers a user-friendly interface for coordinated data views.
- The tool supports accessible visualization of crosslinking MS data.
- xiVIEW promotes standard file formats for enhanced data integration.
Conclusions:
- xiVIEW empowers researchers to analyze crosslinking MS data more effectively.
- The application facilitates deeper investigations into complex biological systems.
- xiVIEW is expected to advance crosslinking MS-inspired research.
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