| ADME | Absorption, Distribution, Metabolism, and Excretion |
| AER | Address Event Representation |
| ANGN | Artificial Neuron-Glia Networks |
| ANN | Artificial Neural Networks |
| AUC | Area Under the Receiver Operating Characteristic Curve |
| CASP | Critical Assessment of protein Structure |
| CNN | Convolutional Neural Networks |
| CPU | Central Processing Unit |
| CUDA | Compute Unified Device Architecture |
| DAEN | Deep Auto-Encoder Networks |
| DANAN | Deep Artificial Neuron–Astrocyte Networks |
| DBN | Deep Belief Networks |
| DCNN | Deep Convolution Neural Networks |
| DFNN | Deep Feedforward Neural Networks |
| DL | Deep Learning |
| DNN | Deep Artificial Neural Networks |
| DBM | Deep Boltzmann Machines |
| DRNN | Deep Recurrent Neural Networks |
| ECFP4 | Extended Connectivity Fingerprints |
| GPGPUs | General-Purpose Graphical Processing Units |
| GPU | Graphical Processing Unit |
| ML | Machine Learning |
| QSAR | Quantitative Structure–Activity Relationship |
| QSPkR | Quantitative Structure–Pharmacokinetic Relationship |
| QSPR | Quantitative Structure–Property Relationships |
| QSTR | Quantitative Structure–Toxicity Relationship |
| SANN | Spiking Artificial Neural Network |
| SVM | Support Vector Machines |
| VLSI | Very Large Scale Integration |
| VS | Virtual Screening |