Back to search

Article

Integrating structural homology with deep learning to achieve highly accurate protein-protein interface prediction for the human interactome

2025-06-12

Abstract excerpt

A significant portion of disease-causing mutations occur at protein-protein interfaces however, the number of structurally resolved multi-protein complexes is extremely small. Here we present a computational pipeline, PIONEER2.0, that integrates 3D structural similarity with geometric deep learning to accurately predict protein binding partner-specific interfacial residues for all experimentally observed human bin...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
d17a41ab-88f6-5d11-9494-8f0368b7c5b2
DOI
10.1101/2025.06.09.658393
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Integrating structural homology with deep learning to achieve highly accurate protein-protein interface prediction for the human interactomeDOI 10.1101/2025.06.09.658393
Select a neighboring publication to make it the new centre.