Research
DPI-score: a deep learning-based metric for assessing protein-protein interfaces in cryoEM derived assemblies
Nature · By Niraj Bhujel ·
The Brief
- DPI-score is a deep learning-based metric for assessing protein-protein interfaces in cryoEM-derived assemblies.
- The score uses only structural coordinates, without engineered interface features.
- The study was published in Nature Communications on 14 November 2026 (doi:10.1038/s41467-026-79090-8).
Why it matters
Structural biologists building models of multi-protein complexes from cryoEM maps need reliable ways to judge whether the contacts between chains are credible; a coordinate-only deep learning metric offers a way to check these interfaces.
Who’s affected
- structural biologists using cryoEM
- researchers modelling protein complexes
- #cryoem
- #protein-protein interfaces
- #deep learning
- #structural biology
- #model validation
Nature Communications, Published online: 14 November 2026; doi:10.1038/s41467-026-79090-8 The study introduces deep learning-based protein-protein interfaces’ quality score- DPI-score, that uses only structural coordinates, without engineered interface features. It provides…
Timeline
Study published online in Nature Communications
nature.com
DPI-score: a deep learning-based metric for assessing protein-protein interfaces in cryoEM derived assemblies