Article

LNGCN: a distance-aware continuous-time graph framework for PPI prioritization in experimental screening

2026-05-04

Abstract excerpt

<h4>SUMMARY</h4> High-throughput PPI screening requires not only interaction discrimination but also stable, calibrated scores for candidate prioritization and efficient experimental allocation. Conventional graph neural networks may over-smooth deep residue representations, reducing score separation among high-confidence candidates. We therefore developed LNGCN, a distance-aware continuous-time graph framework f...

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Literature Corpus work: 062898da-1a4d-5e80-81eb-6ea7f0ebe8cb
DOI: 10.64898/2026.04.30.721835

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