| AD | Applicability domain |
| ASs | Active substances |
| CPDB | Carcinogenic Potency Database |
| CU | CASE Ultra |
| Danish EPA | Danish Environmental Protection Agency |
| DTU | Technical University of Denmark |
| ECHA | European Chemicals Agency |
| ECVAM | Genotoxicity & Carcinogenicity Database by the European Reference Laboratory for Alternatives to Animal Testing |
| EFSA | European Food Safety Authority |
| EQ | Equivocal |
| IN | In the domain |
| ISS | Italian National Institute of Health |
| ISSBIOC | Biocides and Plant Protection Database by ISS |
| ISSCAN | Carcinogenicity & Mutagenicity Database by ISS |
| LS | Leadscope Predictive Data Miner |
| MET | Metabolites |
| ML | Machine learning |
| MM/MF | Mouse Male/Mouse Female |
| MN_ID | Unique identifier of substances under analysis |
| NAMs | New approach methodologies |
| ND | No data available |
| NEG | Negative result |
| OECD | Organisation for Economic Cooperation and Development |
| OUT | Out of the domain |
| PCA | Principal Component Analysis |
| PINNs | Physics-Informed Neural Networks |
| PLR | Partial logistic regression |
| PLS | Partial least squares regression |
| POS | Positive result |
| RM/RF | Rat Male/Rat Female |
| (Q)SAR | (Quantitative) structure–activity relationship |
| SQ | SciQSAR |
| WoE | Weight of evidence |