| A. baumannii | Acinetobacter baumannii |
| ACEP | Antimicrobial Peptide Recognition |
| ADAM | A Database of Anti-Microbial Peptides |
| AI | Artificial Intelligence |
| AMPs | Antimicrobial Peptides |
| AMR | Antimicrobial Resistance |
| AMPDB V1 | Anti-Microbial Peptide Database Version 1 |
| ANNs | Artificial Neural Networks |
| APD-3 | Antimicrobial Peptide Database-3 |
| ATT | Attention Mechanism |
| AUROC | Area Under the Curve |
| B-AMP | Biofilm-AMP |
| BERT | Bidirectional Encoder Representations from Transformers |
| Bi-LSTM | Bi-directional Long Short-Term Memory |
| CAMP | Collection of Anti-Microbial Peptides |
| CNN | Convolutional Neural Network |
| DA | Discriminant Analysis |
| dbAMP | Database of Antimicrobial Peptides |
| DBAASP | Database of Antimicrobial/Cytotoxic Activity and Structure of Peptides |
| DF | Deep Forest |
| DL | Deep Learning |
| DPL | Database of Peptide Ligands |
| DRAMP | Data Repository of Antimicrobial Peptides |
| E. coli | Escherichia coli |
| ECE | Expected Calibration Error |
| ESM | Evolutionary Scale Modeling |
| FBGAN | Featurized Bidirectional Generative Adversarial Networks |
| GANs | Generative Adversarial Networks |
| GCN | Graph Convolutional Networks |
| GNN | Graph Neural Network |
| GRU | Gated Recurrent Unit |
| GRAMPA | Giant Repository of AMP Activities |
| GPT-3 | Generative Pre-trained Transformer-3 |
| IAMPE | Integrated Antimicrobial Peptide Estimator |
| InverPep | Invertebrate Peptides Database |
| KL | Kullback–Leibler |
| kNNs | k-Nearest Neighbours |
| K. pneumoniae | Klebsiella pneumoniae |
| LAMP2 | Linking Antimicrobial Peptides-2 |
| LGBM | Light Gradient-Boosting Machine |
| LLMs | Large Language Models |
| LSTM | Long Short-Term Memory |
| MCC | Matthews Correlation Coefficient |
| MIC | Minimum Inhibitory Concentration |
| MLP | Multi-Layer Perception |
| ML | Machine Learning |
| modlAMP | Molecular Design Laboratory’s Antimicrobial Peptides |
| MRSA | Methicillin-Resistant Staph. aureus |
| MSA | Multiple Sequence Alignments |
| NLP | Natural Language Processing |
| NSGA-II | Non-Dominated Sorting Genetic Algorithm-II |
| P. aeruginosa | Pseudomonas aeruginosa |
| PGAT-ABPp | Position-aware Graph Attention for Antibacterial Peptides |
| PSEAAC | Pseudo Amino Acid Composition |
| QSVM | Quantum Support Vector Machine |
| RF | Random Forest |
| RMSE | Root Mean Square Error |
| RNN | Recurrent Neural Network |
| S. aureus | Staph. aureus |
| SAR | Structure–Activity Relationships |
| SVM | Support Vector Machine |
| StAPD | Stability-Aware Peptide Database |
| VAEs | Variational Autoencoders |
| YADAMP | Yet Another Database of Antimicrobial Peptides |