AI |
Artificial Intelligence |
ADME |
Absorption, Distribution, Metabolism, and Excretion |
ADMET |
Absorption, Distribution, Metabolism, Excretion, and Toxicity |
ALE |
Accumulated Local Effects |
CAM |
Class Activation Mapping |
CNN |
Convolutional Neural Networks |
DDI |
Drug–Drug Interactions |
DL |
Deep Learning |
DNA |
Deoxyribonucleic Acid |
DTI |
drug–target interaction |
EHR |
Electronic Health Records |
FDA |
Food and Drug Administration |
FL |
Federated learning |
GAM |
Generalized Additive Models |
GAP |
Global Average Pooling |
GNN |
Graph Neural Networks |
HGP |
Human Genome Project |
HTS |
High-Throughput Screening |
ICU |
Intensive Care Unit |
IID |
Independent and Identically Distributed |
LIME |
Local Interpretable Model-Agnostic Explanation |
LLM |
Large Language Model |
MDS |
Molecular Dynamics Simulations |
ML |
Machine Learning |
NLP |
Natural Language Processing |
NN |
Neural Networks |
PDP |
Partial Dependence Plots |
QSAR |
Quantitative Structure–Activity Relationship |
RNN |
Recurrent Neural Networks |
SHAP |
Shapley Additive exPlanations |
SVM |
Support vector Machine |
XAI |
Explainable Artificial Intelligence |