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Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay PCA in Living Cells
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PrePPI: A structure informed proteome-wide database of protein-protein interactions
Biorxiv : the Preprint Server for Biology
|March 13, 2023
Summary
The updated PrePPI webserver predicts protein-protein interactions (PPIs) using structural and non-structural data. This resource provides a comprehensive, structure-informed view of the human interactome.
Area of Science:
- Computational biology
- Bioinformatics
- Structural biology
Background:
- Protein-protein interactions (PPIs) are fundamental to cellular processes.
- Predicting PPIs on a proteome-wide scale is crucial for understanding cellular function.
- Existing methods often lack comprehensive structural information.
Approach:
- The updated PrePPI webserver integrates structural modeling (SM) and non-structural clues within a Bayesian framework.
- It leverages AlphaFold structures, parsed into individual domains, for enhanced prediction accuracy.
- A unique scoring function evaluates putative protein complexes for proteome-wide analysis.
Key Points:
- PrePPI predicts PPIs with high accuracy, validated on E. coli and human PPI databases.
- The updated version incorporates AlphaFold-derived structural data for improved predictions.
- A database of ~1.3 million human PPIs is accessible via a user-friendly webserver.
Conclusions:
- PrePPI offers a state-of-the-art resource for exploring the human interactome.
- The webserver provides functionalities for examining predicted protein complexes and related data.
- This structure-informed approach advances our understanding of protein interactions.
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