Author

T. Hy

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Open access Oct 2026

Towards a Unified Framework for Protein Interaction Site Prediction Using Hierarchical Protein Representations

Proteins interact with a wide range of biomolecular partners, yet identifying the interaction sites that mediate these events remains a major challenge for understanding cellular function and guiding drug discovery. Existing computational methods are typically designed for specific interaction classes and often rely on...

Viet Thanh Duy Nguyen, John K. Johnstone, T. Hy · bioRxiv · 0 citations

#machine learning Mar 2026

Q-BIOLAT: Binary Latent Protein Fitness Landscapes for QUBO-Based Optimization

Q-BioLat is introduced, a framework that maps pretrained protein-language-model embeddings to compact binary codes and fits a quadratic unconstrained binary optimization (QUBO) surrogate with unary and pairwise latent interactions.

T. Hy · arXiv.org · 0 citations

Open access Jul 2026

A wearable device dataset for mental health assessment using laser Doppler flowmetry and fluorescence spectroscopy sensors.

Wearable optical sensing combined with interpretable machine learning provides physiological signatures associated with stress-related mental health conditions and supports development of scalable and data-driven tools for objective mental health monitoring.

Minh Ngoc Binh Nguyen, Khai Le-Duc, Tan-Hanh Pham et al. · Communications Medicine · 1 citation