SNU CBE

Integrated multi-endpoint hazard prioritization of unregulated industrial contaminants: A safety-first screening framework for emerging environmental threats

2026 · Ecotoxicology and Environmental Safety

저자

Jeongyun Kim, Sojeong Bae, Yoon Jeong Jang, Jeongwon Bae, Doo‐Hee Lee, Dongyoul Lee, 이원보 (Won Bo Lee), Ku Kang

연구주제

Computational Drug Discovery Methods

NTIS 과학기술표준분류

가장 가까운 분류(환경 > 위해성평가/관리)가 화학·화공 범위 밖이다. 배정 근거: 지원 과제·키워드 근거가 없어 AI가 논문 제목·초록을 읽고 고른 분류.

AI 연구 키워드·방법

chemical hazard screening toxic industrial chemical toxicity prediction

quantitative structure activity relationship

키워드 (OpenAlex)

toxic industrial chemicals chemical safety screening aquatic toxicity acute toxicity skin toxicity ocular toxicity respiratory toxicity flammability

초록

The rapid expansion of the industrial chemical space has outpaced regulatory oversight, creating a critical regulatory and environmental blind spot regarding unregulated high-consequence chemicals with limited hazard characterization. While conventional QSAR models focus on predictive accuracy for known chemicals, they often lack the decision-oriented screening required for environmental risk management. Here, we present a "proactive discovery" framework designed to unveil hidden high-consequence threats among 16,000+ structural analogs of toxic industrial chemicals (TICs). The central contribution of this work is the integration of multiple hazard endpoints, including acute, dermal, ocular, respiratory, flammability, reactivity, and aquatic toxicity, onto a single regulatory-aligned 0-4 scale, rather than the prediction of any individual endpoint. By integrating National Fire Protection…

이 논문을 지원한 국가R&D 과제 (NTIS 성과)

NTIS 성과DB(2020–24)에서 DOI 매칭 없음

인접 그래프

노드 hover = 이웃 강조 · 1회 클릭 = 고정 · 고정된 노드 다시 클릭 = 페이지 이동

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교수 1

이원보

연구주제 1

Computational Drug Discovery Methods