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Junsu Ko

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Open access Aug 2026

OmniScore: Universal Scoring of Diverse Biomolecular Complexes via Equivariant Geometry-Aware Discrete Representation Learning

OmniScore is introduced, a universal structure-based framework that learns a shared geometry-aware representation of complexes once and then adapts it to downstream scoring through lightweight task-specific heads, suggesting that geometry-aware pretraining can provide a reusable scoring backbone for tasks that depend o...

Tien-Cuong Bui, Junsu Ko, Ju-Yong Lee · 0 citations
Open access Jul 2026

STRUMP-I: Structure-Based Machine Learning Approach to pMHC-I Binding Prediction Using Force Field Energy Features

STRUMP-I (STRUcture-based pMHC Prediction for class I), a novel pMHC-I binding prediction tool that directly leverages a broad set of force-field-derived energy terms as machine learning features, achieved performance comparable to state-of-the-art sequence-based models overall and showed a clear advantage for alleles...

Adam Voshall, Jeongjun Chae, Honglan Li et al. · 0 citations

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