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. 2020 Jun 15;25(12):2764. doi: 10.3390/molecules25122764
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 structureactivity 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