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Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay (PCA) in Living Cells
Published on: March 3, 2015
Predicting the binding patterns of hub proteins: a study using yeast protein interaction networks
Carson M Andorf1, Vasant Honavar, Taner Z Sen
1Department of Computer Science, Iowa State University, Ames, Iowa, United States of America.
Plos One
|February 23, 2013
Summary
This study introduces a computational method to identify protein-binding proteins and classify them as hub proteins, distinguishing between date/party and singlish/multiple-interface types using sequence data.
Area of Science:
- Computational biology
- Bioinformatics
- Systems biology
Background:
- Protein-protein interactions (PPIs) are fundamental to biological pathways.
- Hub proteins, with numerous interaction partners, are crucial for cellular control.
- Hubs are classified structurally (singlish-interface hubs [SIH] vs. multiple-interface hubs [MIH]) and kinetically (date hubs vs. party hubs).
Purpose of the Study:
- To develop and validate a computational method for predicting protein-binding proteins.
- To classify predicted protein-binding proteins as hubs.
- To further categorize hubs into SIH/MIH and date/party types based on sequence information.
Main Methods:
- A three-phase approach utilizing sequence-based predictors and machine learning techniques.
- Phase I: Predicts protein-binding (PB) potential.
- Phase II: Identifies PB proteins as hubs.
- Phase III: Classifies hubs as SIH/MIH and date/party types.
Main Results:
- Achieved 94% accuracy and 0.87 correlation coefficient for PB protein prediction.
- Identified hubs with 100% accuracy on 30% of the data.
- Distinguished date/party hubs with 69% accuracy (AUC 0.68) and SIH/MIH with 89% accuracy (AUC 0.84).
Conclusions:
- The developed sequence-based method accurately predicts protein-binding proteins and classifies hub types.
- Applicable even without interaction data or complex structures, offering insights into protein function and evolution.
- A web server is available for this three-phase approach.
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