| AD | atopic dermatitis |
| RF | Random Forest |
| LassoCV | Lasso regression with cross-validation |
| EN | Elastic Net |
| XGB | Extreme Gradient Boosting |
| ML | Machine learning |
| MD | Molecular dynamics |
| OB | oral bioavailability |
| DL | drug-likeness |
| PPI | protein–protein interaction |
| GO | Gene Ontology |
| KEGG | Kyoto Encyclopedia of Genes and Genomes |
| GEO | Gene Expression Omnibus |
| ACC | accuracy |
| AUC | area under the curve |
| MCC | Matthews correlation coefficient |
| Sen | sensitivity |
| Spe | specificity |
| RFE | Recursive Feature Elimination |
| AUROC | area under the receiver operating characteristic curve |
| SMOTE | Synthetic Minority Oversampling Technique |
| ADASYN | Adaptive Synthetic Sampling |
| RUS | Random Undersampling |
| ROS | Random Oversampling |
| B-SMOTE | Borderline-SMOTE |
| SVM-SMOTE | Support Vector Machine SMOTE |
| RMSD | root mean square deviation |
| Rg | radius of gyration |
| SASA | solvent-accessible surface area |
| RMSF | root mean square fluctuation |
| DSSP | definition of secondary structure of proteins |
| DCCM | Dynamic Cross-Correlation Matrix |
| MM/PBSA | Molecular Mechanics/Poisson-Boltzmann Surface Area |