Structures of Endocrine-Disrupting Chemicals Correlate with the Activation of 12 Classic Nuclear Receptors
Haoyue Tan(Ministry of Ecology and Environment), Wei Shi(State Key Laboratory of Pollution Control and Resource Reuse), Emilio Benfenati, Xiaowei Zhang(Central South University), Hongxia Yu(University of California, Riverside), Huixiao Hong(National Center for Toxicological Research), Qinchang Chen(State Key Laboratory of Pollution Control and Resource Reuse), Giuseppina Gini(Politecnico di Milano)
Cited by 59
Related Papers
Machine Learning: New Ideas and Tools in Environmental Science and Engineering
|Environmental Science & Technology|2021|921
The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance
|Nature Biotechnology|2014|550
Green Chemistry in the Synthesis of Pharmaceuticals
|Chemical Reviews|2021|520
Benchmarking Organic Micropollutants in Wastewater, Recycled Water and Drinking Water with In Vitro Bioassays
|Environmental Science & Technology|2013|455
Comparison of RNA-seq and microarray-based models for clinical endpoint prediction
|Genome Biology|2015|429