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Updated: Apr 12, 2026

Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay PCA in Living Cells
Published on: March 3, 2015
MyProteinNet: build up-to-date protein interaction networks for organisms, tissues and user-defined contexts
Omer Basha1, Dvir Flom2, Ruth Barshir1
1Department of Clinical Biochemistry & Pharmacology, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel.
MyProteinNet simplifies creating protein interaction networks by integrating data from 11 databases. This tool aids in analyzing context-specific protein networks for disease and drug research.
Area of Science:
- Bioinformatics
- Computational Biology
- Systems Biology
Background:
- Understanding molecular pathways requires comprehensive protein interaction data.
- Integrating context-specific protein lists with interaction databases is challenging.
- Existing data is often fragmented across multiple sources.
Purpose of the Study:
- To develop a web server for constructing context-sensitive protein interaction networks.
- To facilitate the integration of diverse protein interaction data.
- To enable analysis of protein networks in specific biological contexts.
Main Methods:
- The MyProteinNet web server aggregates data from 11 protein interaction databases.
- Users can create generic interactomes and filter them by reliability, expression, and annotation.
- The tool supports the construction of human tissue-specific interactomes using expression profiles.
Main Results:
- MyProteinNet provides users with generic and filtered interactome files.
- Network attributes and summaries are included in the output.
- The server supports 11 organisms and tens of human tissues.
Conclusions:
- MyProteinNet is a powerful tool for building up-to-date, context-specific protein interaction networks.
- It facilitates meaningful analysis of protein networks in various biological contexts.
- The server aids research in disease states and drug responses by providing integrated interactome data.
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