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Sep 2026

Deep Learning Protocols for Predicting Drug Mechanism of Action and Drug-Target Interactions.

Two deep learning-based computational protocols designed to address drug mechanisms of action and predicting drug-target interactions are presented, offering scalable, cost-effective tools for accelerating therapeutic development by bridging chemical structure, molecular interactions, and systems-level biological respo...

Y. Sun, Cheng-You Liu, Zi-Hao Jing et al. · 0 citations
Open access Aug 2026

Toward Imbalanced Molecular Property Regression: A Benchmark Study and Interval-Aware Mixture of Experts

Molecular property prediction is a key task in AI-driven drug discovery, yet the prevalence and impact of label imbalances in molecular property regression remain poorly understood. Through a systematic benchmark of widely used molecular property data sets, we show that target values are often highly imbalanced and tha...

Y. Sun, Yu Shi, Alana Deng et al. · 0 citations

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