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. 2023 Mar 31;24(7):6573. doi: 10.3390/ijms24076573
AAE Adversarial autoencoder
AEs Autoencoders
AMP Antimicrobial peptide
ANNs Artificial neural networks
CADD Computer-aided drug design
CBP CREB-binding protein
CNNs Convolutional neural networks
D-MPNN Direct-message-passing neural network
DB Database
DDIs Drug–Drug Interactions
DDR1 Discoidin domain receptor1
DDNs Drug–Disease Networks
DSENs Drug–Side effect Networks
DTIs Drug–target interactions
FDA Food and drug administration
GANs Generative adversarial networks
GAT Graph attention network
GCNs Graph convolutional networks
GNN Graph neural network
GPCR G-protein coupled receptor
GPU Graphical processing units
GRU Gated recurrent units
GVAE Grammar variational autoencoder
HTS High-throughput screening
IC50 Half-maximum inhibitory concentration
LSTM Long short-term memory
MAE Mean absolute error
MTDNN Multitask deep neural network
NLP Natural language processing
NNs Neural networks
ORGAN Objective-Reinforced Generative Adversarial Networks
ORGANIC Objective-Reinforced Generative Adversarial Network for Inverse-design Chemistry
PPIs Protein–Protein Interactions
PRISMA Preferred reporting items for systematic review and meta-analyses
PUNs Pretrained unsupervised networks
QSAR Quantitative Structure–Activity Relationships
RANC Reinforced adversarial neural computer
ReLU Rectified linear unit
RL Reinforcement Learning
RNNs Recurrent neural networks
ROC-AUC Receiver operating characteristic curve-area under curve
ROR-γt Retinoic-acid-receptor related orphan receptor-gamma t
SMILES Simplified molecular input line entry system
SOM Self-organizing map
TL Transfer Learning
TTD Therapeutic Target DB
VAE Variational autoencoder
WAE Wasserstein autoencoder