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Updated: Jan 31, 2026

Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools
Published on: August 19, 2025
PPIExp: A Web-Based Platform for Integration and Visualization of Protein-Protein Interaction Data and Spatiotemporal
Xian Liu1, Cheng Chang1, Mingfei Han1
1State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing) , Beijing Institute of Life Omics , Beijing 102206 , P. R. China.
This study introduces PPIExp, a web tool for biologists to analyze protein-protein interaction (PPI) networks using spatiotemporal proteomics data. PPIExp simplifies network construction, visualization, and identification of key proteins for dynamic biological exploration.
Area of Science:
- Proteomics
- Bioinformatics
- Systems Biology
Background:
- Integrating spatiotemporal proteomics with protein-protein interaction (PPI) data enables dynamic exploration of protein functions.
- Biologists often lack programming skills, hindering their ability to construct and analyze PPI networks.
Purpose of the Study:
- To develop a user-friendly web-based platform, PPIExp, for constructing and visualizing PPI networks from spatiotemporal proteomics data.
- To facilitate the identification of key proteins and active subnetworks for further biological investigation.
Main Methods:
- PPIExp automatically constructs PPI networks and performs clustering based on protein abundances.
- It integrates functional enrichment analysis and offers multiple visualization interfaces (network map, dendrogram, heatmap, expression patterns).
- The platform highlights differentially expressed proteins and provides interactive tools to identify key nodes based on centrality and functional annotations.
Main Results:
- PPIExp provides automated PPI network construction and clustering analysis.
- It offers interactive visualization of PPI networks, clustering results, and protein expression patterns.
- The tool facilitates the identification of key proteins within enriched functional terms or coexpressed groups.
Conclusions:
- PPIExp empowers biologists with limited programming experience to analyze complex PPI networks and spatiotemporal proteomics data.
- The platform enhances the exploration of dynamic biological processes by simplifying network analysis and key protein identification.
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