Related Experiment Video
Updated: Aug 12, 2026
12:53
Identification of Protein Interaction Partners in Mammalian Cells Using SILAC-immunoprecipitation Quantitative Proteomics
Published on: July 6, 2014
InterWeaver: interaction reports for discovering potential protein interaction partners with online evidence
1Knowledge Discovery Department, Institute for Infocomm Research, 21 Heng Mui Keng Terrace, Singapore 119613. zzhang@i2r.a-star.edu.sg
Nucleic Acids Research
|June 25, 2004
Summary
InterWeaver is a web server that identifies potential protein interactions by analyzing protein sequences. It uses homology and domain-based methods to find interaction partners, aiding biological discovery.
Area of Science:
- Bioinformatics
- Computational Biology
- Systems Biology
Background:
- Identifying protein-protein interactions (PPIs) is crucial for understanding cellular mechanisms.
- Manual extraction of interaction evidence from diverse sources is time-consuming and labor-intensive.
Purpose of the Study:
- To develop a web server, InterWeaver, for automated discovery of potential protein interactions.
- To provide biologists with a tool for efficient identification of protein interaction partners.
Main Methods:
- InterWeaver employs a homology-based approach, searching for similar proteins and their known interactions.
- A domain-based approach identifies protein domains and searches for fusion events and domain interactions.
- Evidence is automatically extracted from interaction databases, literature, and domain analysis.
Main Results:
- The server successfully identifies potential protein interaction partners for a given protein sequence.
- Results are compiled into a downloadable, personalized interaction report.
- The tool integrates evidence from multiple sources, including databases and literature.
Conclusions:
- InterWeaver offers an automated and efficient method for discovering potential protein interactions.
- The web server facilitates biological research by streamlining the identification of interaction partners.
- Freely available for academic users, promoting wider adoption in biological research.
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