| Acc (Test) | accuracy in the test dataset |
| AhR | aryl hydrocarbon receptor |
| AOP | adverse outcome pathway |
| AR | androgen receptor |
| AUC | area under the curve |
| Acc (Val) | accuracy in the validation dataset |
| BAC | balanced accuracy |
| BSA | bisphenol A |
| CAR | constitutive androstane receptor |
| CNN | convolutional neural network |
| DBD | DNA-binding domain |
| DIGITS | deep learning GPU training system |
| DL | deep learning |
| DMSO | dimethyl sulfoxide |
| ER | estrogen receptor |
| ERR | estrogen-related receptor |
| F | F-measure |
| FN | false negative |
| FP | false positive |
| FXR | farnesoid X receptor |
| GR | glucocorticoid receptor |
| LBD | ligand-binding domain |
| Loss (Val) | loss in the validation dataset |
| LXR | liver X receptor |
| MCC | Matthews correlation coefficient |
| ML | machine learning |
| MOE | molecular operating environment |
| NR | nuclear receptor |
| PPAR | peroxisome proliferator-activated receptor |
| PR | progesterone receptor |
| PXR | pregane X receptor |
| qHTS | quantitative high-throughput screening |
| QSAR | quantitative structure–activity relationship |
| RAR | retinoic acid receptor |
| RE | response element |
| RXR | retinoid X receptor |
| ROC | receiver operating characteristic |
| SE | standard error |
| SMILES | simplified molecular input line entry system |
| SSRM | selective steroid receptor modulator |
| TN | true negative |
| Tox21 | Toxicology in the 21st Century |
| TP | true positive |
| TR | thyroid receptor |
| TSHR | thyroid-stimulating hormone receptor |
| VDR | vitamin D receptor |