Paradigm Shift in Toxicity Testing and Modeling
作者: Hongmao SunMenghang XiaChristopher P. AustinRuili Huang
作者单位: 1Department of Health and Human Services, NIH Chemical Genomics Center, National Institutes of Health
刊名: The AAPS Journal, 2012, Vol.14 (3), pp.473-480
来源数据库: Springer Nature Journal
DOI: 10.1208/s12248-012-9358-1
关键词: computational toxicologyqHTSrisk assessmentTox21
英文摘要: Abstract(#br)The limitations of traditional toxicity testing characterized by high-cost animal models with low-throughput readouts, inconsistent responses, ethical issues, and extrapolability to humans call for alternative strategies for chemical risk assessment. A new strategy using in vitro human cell-based assays has been designed to identify key toxicity pathways and molecular mechanisms leading to the prediction of an in vivo response. The emergence of quantitative high-throughput screening (qHTS) technology has proved to be an efficient way to decompose complex toxicological end points to specific pathways of targeted organs. In addition, qHTS has made a significant impact on computational toxicology in two aspects. First, the ease of mechanism of action identification brought about...
全文获取路径: Springer Nature  (合作)
影响因子:4.386 (2012)

  • Testing 检测
  • Shift 转换