Requirements and example for Ames/QSAR and <i>in silico</i> studies

DOI
  • FURUHAMA Ayako
    Division of Genetics and Mutagenesis, Center for Biological Safety and Research, National Institute of Health Sciences
  • SUGIYAMA Kei-ichi
    Division of Genetics and Mutagenesis, Center for Biological Safety and Research, National Institute of Health Sciences
  • HONMA Masamitsu
    National Institute of Health Sciences

Bibliographic Information

Other Title
  • Ames/QSAR の必要性・具体例と国内外のインシリコ研究

Description

<p>The QSAR models for predicting Ames mutagenicity need the more predictive power to use the regulatory purposes. Previously, DGM/NIHS has conducted the first AMES/QSAR International Challenge Project to validate and improve QSAR tools for predicting Ames mutagenicity of chemicals. More than 10,000 Ames data which are collected under the Japanese Industrial Safety and Health Act were provided to the participants to improve their QSAR models for predicting Ames mutagenicity. Here, we presented the overview of the second project and the agenda for building Ames database.</p>

Journal

Details 詳細情報について

  • CRID
    1390570486221105920
  • NII Article ID
    130008073867
  • DOI
    10.14869/toxpt.48.1.0_s3-5
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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