collaborators

5 papers

cs.AI2026

MolDeTox: Evaluating Language Model's Stepwise Fragment Editing for Molecular Detoxification

Jueon Park, Wonjune Jang, Jiwoo Lee +2

Large Language Models (LLMs) and Vision Language Models (VLMs) have recently shown promising capabilities in various scientific domain. In particular, these advances have opened ne…

q-bio.QM2026

ToxReason: A Benchmark for Mechanistic Chemical Toxicity Reasoning via Adverse Outcome Pathway

Jueon Park, Wonjune Jang, Chanhwi Kim +2

Recent advances in large language models (LLMs) have enabled molecular reasoning for property prediction. However, toxicity arises from complex biological mechanisms beyond chemica…

q-bio.QM2026

ATTNSOM: Learning Cross-Isoform Attention for Cytochrome P450 Site-of-Metabolism

Hajung Kim, Eunha Lee, Sohyun Chung +3

Identifying metabolic sites where cytochrome P450 enzymes metabolize small-molecule drugs is essential for drug discovery. Although existing computational approaches have been prop…

cs.CE2025

GraphCliff: Short-Long Range Gating for Modeling Critical Activity Changes Caused by Subtle Molecular Differences

Hajung Kim, Jueon Park, Junseok Choe +4

The quantitative structure-activity relationship assumes a smooth mapping between molecular structure and biological activity. However, activity cliffs, defined as pairs of structu…

cs.LG2025

CoTox: Chain-of-Thought-Based Molecular Toxicity Reasoning and Prediction

Jueon Park, Yein Park, Minju Song +4

Drug toxicity remains a major challenge in pharmaceutical development. Recent machine learning models have improved in silico toxicity prediction, but their reliance on annotated d…