Machine Learning-Based QSAR Models and Structural Alerts for Prediction of Mitochondrial Dysfunction

Computational methods in engineering & the sciences, pp. 433–446

Authors 3

1. Weihao Tang

   Guangdong Academy of Sciences · Dalian University of Technology · Institute of Eco-environmental and Soil Sciences, Guangdong Academy of Sciences

   Affiliation as printed

   Guangdong Key Laboratory of Integrated Agro-environmental Pollution Control and Management, National-Regional Joint Engineering Research Center for Soil Pollution Control and Remediation in South China, Institute of Eco-environmental and Soil Sciences, Guangdong Academy of Sciences, Guangzhou, 510650, China

   School of Environmental Science and Technology, Dalian University of Technology, Dalian, 116024, China

2. Willie J.G.M. Peijnenburg Aachen Institute of Environmental Sciences (CML)

   Leiden University · National Institute for Public Health and the Environment

   Affiliation as printed

   Center for Safety of Products and Substances of the National Institute of Public Health and the Environment (RIVM), Bilthoven, The Netherlands

   Institute of Environmental Sciences, Leiden University, 2300 RA, Leiden, The Netherlands

3. Jingwen Chen corresponding

   Dalian University of Technology

   Affiliation as printed

   School of Environmental Science and Technology, Dalian University of Technology, Dalian, 116024, China