XlinkCyNET
XlinkCyNET visualizes residue-to-residue protein cross-links derived from chemical cross-linking coupled with mass spectrometry (XL-MS) within Cytoscape to support analysis of protein interaction networks.
Key Features:
- Cytoscape integration: Implements a Java plugin integration with Cytoscape to represent XL-MS-derived protein interactions within Cytoscape networks.
- XL-MS data processing: Processes chemical cross-linking coupled with mass spectrometry (XL-MS) data to extract residue-to-residue cross-link connections.
- Rectangular-bar cross-link visualization: Renders intra- and interprotein cross-links using a rectangular-bar style that represents cross-linked residue positions on protein sequences.
- 3D structural mapping: Maps and visualizes cross-links onto three-dimensional protein structures to relate cross-link positions to spatial arrangements.
- Scalability: Supports large-scale networks, managing datasets containing thousands of proteins and cross-links.
Scientific Applications:
- Structural Biology: Investigates spatial organization and interaction dynamics of proteins at residue-level resolution using XL-MS constraints.
- Proteomics: Integrates cross-linking data into proteomic network analyses to elucidate protein interactions and complex topology.
- Drug Discovery: Supports identification of interaction interfaces and potential targets by providing residue-level interaction maps.
Methodology:
XlinkCyNET processes XL-MS data to generate residue-to-residue connections within protein networks.
Topics
Details
- License:
- GPL-3.0
- Programming Languages:
- Java
- Added:
- 1/18/2021
- Last Updated:
- 5/27/2021
Operations
Publications
Lima DB, Zhu Y, Liu F. XlinkCyNET: A Cytoscape Application for Visualization of Protein Interaction Networks Based on Cross-Linking Mass Spectrometry Identifications. Journal of Proteome Research. 2021;20(4):1943-1950. doi:10.1021/acs.jproteome.0c00957. PMID:33689356.
Lima DB, Zhu Y, Liu F. XlinkCyNET: a Cytoscape application for visualization of protein interaction networks based on cross-linking mass-spectrometry identifications. Unknown Journal. 2020. doi:10.1101/2020.12.20.423654.
Lima DB, Zhu Y, Liu F. Using XlinkCyNET to visualize protein cross-links in Cytoscape software. Unknown Journal. 2020. doi:10.21203/rs.3.pex-1172/v1.