通过新型SMILES碎片化和可解释的深度学习提高合成化学品的毒性预测

Yumian Zhou1, Yu He1, Wenzheng Zhou1

  • 1Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Jiangning District, Nanjing 21166, Jiangsu, China.

概括

使用SMILES碎片化的新深度学习框架预测化学毒性并识别结构性警报. 这种可解释的工具有助于对合成化学品进行安全评估.