| Abbreviation | Meaning |
| DDI | Drug–drug interactions |
| ML | Machine learning |
| DL | Deep learning |
| SSODL-DDIP | Sparrow search optimization with deep learning-based DDI prediction |
| MLSTM-AE | Multilabel long short-term memory with an autoencoder |
| DM | Data mining |
| RBM | Restricted Boltzmann machines |
| CNN | Convolution neural networks |
| AE | Autoencoder |
| PU | Positive unlabeled |
| SVM | Support vector machine |
| GCN | Graph convolution network |
| DNN | Deep neural networks |
| KGNN | Knowledge graph neural network |
| KG | Knowledge graph |
| AMDE | Attention-related multidimensional feature encoders |
| SEV-DDI | Severity DDI |
| DANN-DDI | Deep attention neural network-related DDI |
| SFLLN | Sparse feature learning ensembled approach with linear neighborhood regularization |
| DP | Drug pairs |
| WEMB | Word embedding |
| LSTM | Long short-term memory |
| FCN | Fully connected networks |
| FC | Fully connected |
| FS | Flying Squirrels |
| GPCR | G protein-coupled receptors |
| AUPR | Area under the precision-recall curve |
| AUC | Area under the ROC Curve |
| CV | Coefficient of variation |
| PSSM | Position-specific scoring matrix |
| NN | Neural network |
| KBMF2K | Kernelized Bayesian matrix factorization with twin kernels |
| DBSI | drug-based similarity inference |
| DTIP-ORNN | Drug–target interaction prediction model using optimal recurrent neural network |
| BLM | Bipartite local model |
| SELF-BLM | Self-training support vector machine with BLM |
| PULBLM | Positive unlabeled learning with BLM |