Raymond Lui1, Davy Guan1, Slade Matthews1

  • 1Computational Pharmacology and Toxicology Laboratory, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia.

概括

这项研究表明,在多任务深度学习中分组任务可以提高艾姆斯突变性预测的准确性. 纳入毒理学知识可以增强多任务QSAR模型,以更好地评估化学安全.