Predicted Interactome Reveals Binding Interference From Disordered Regions
Peng and Zhao (published January 22, 2026) used AlphaFold2-multimer to predict protein-protein interactions in Drosophila melanogaster from physical and functional datasets. They report that incorporating functional associations increases high-confidence predictions and reveal intrinsically disordered regions frequently mediate or interfere with binding; authors provide data, code, and a web interface for exploration.
Key Points
- 1Generated high-confidence structural predictions for Drosophila protein–protein interactions using AlphaFold2-multimer.
- 2Showed functional associations boost prediction confidence, improving detection of plausible in vivo interactions.
- 3Identified intrinsically disordered regions frequently mediate or interfere with binding, informing experimental targeting and mutagenesis.
Scoring Rationale
High-quality, peer-reviewed proteome-scale AlphaFold2 multimer predictions and a public resource; overall novelty modest, focused on Drosophila-specific application.
Sources
Public references used for this report.
Practice interview problems based on real data
1,625 SQL & Python problems across 15 industry datasets — the exact type of data you work with.
Try 250 free problems