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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2021.10
- 수록면
- 462 - 471 (10page)
- DOI
- 10.5668/JEHS.2021.47.5.462
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초록· 키워드
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Background: The number of synthesized chemicals has rapidly increased over the past decade. For many chemicals, there is a lack of information on toxicity. With the current movement toward reducing animal testing, the use of toxicity big data and deep learning could be a promising tool to screen potential toxicants.
Objectives: This study identified potential chemicals related to reproductive and estrogen receptor (ER)- mediated toxicities for 1135 cleaning products and 886 laundry products.
Methods: We listed chemicals contained in cleaning and laundry products from a publicly available database. Then, chemicals that potentially exhibited reproductive and ER-mediated toxicities were identified using the European Union Classification, Labeling and Packaging classification and ToxCast database, respectively. For chemicals absent from the ToxCast database, ER activity was predicted using deep learning models.
Results: Among the 783 listed chemicals, there were 53 with potential reproductive toxicity and 310 with potential ER-mediated toxicity. Among the 473 chemicals not tested with ToxCast assays, deep learning models indicated that 42 chemicals exhibited ER-mediated toxicity. A total of 13 chemicals were identified as causing reproductive toxicity by reacting with the ER.
Conclusions: We demonstrated a screening method to identify potential chemicals related to reproductive and ER-mediated toxicities utilizing chemical toxicity big data and deep learning. Integrating toxicity data from in vivo , in vitro , and deep learning models may contribute to screening chemicals in consumer products.
목차
등록된 정보가 없습니다.
참고문헌 (38)
참고문헌 신청
이대엽 / 2018 / 생활화학제품 동시 사용현황 조사 -방향제와 탈취제를 중심으로- / 한국환경보건학회지 44(3):275~282
Gabb HA / 2016 / An informatics approach to evaluating combined chemical exposures from consumer products : a case study of asthma-associated chemicals and potential endocrine disruptors / Environ Health Perspect 124(8):1155~1165
Sanderson H / 2013 / Collection and dissemination of exposure data throughout the chemical value chain : a case study from a global consumer product industry / Hum Ecol Risk Assess Int J 19(4):999~1013
박종원 / 2018 / 생활화학제품 및 살생물제의 리스크와 환경법의 역할 / 환경법과 정책 20:55~85
허다안 / 2015 / 일부 생활화학용품에 함유된 성분 및 유해물질 조사 - 세정제와 소독제를 중심으로 - / 한국환경보건학회지 41(5):314~326
Gabb HA / 2016 / An informatics approach to evaluating combined chemical exposures from consumer products : a case study of asthma-associated chemicals and potential endocrine disruptors / Environ Health Perspect 124(8):1155~1165
Sanderson H / 2013 / Collection and dissemination of exposure data throughout the chemical value chain : a case study from a global consumer product industry / Hum Ecol Risk Assess Int J 19(4):999~1013
박종원 / 2018 / 생활화학제품 및 살생물제의 리스크와 환경법의 역할 / 환경법과 정책 20:55~85
허다안 / 2015 / 일부 생활화학용품에 함유된 성분 및 유해물질 조사 - 세정제와 소독제를 중심으로 - / 한국환경보건학회지 41(5):314~326
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