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