ADMET, Absorption, distribution, metabolism, elimination and toxicity; ADR, Adverse Drug Reaction; AI, Artificial Intelligence; ANN, Artificial Neural Networks; APFP, Atom Pairs 2d FingerPrint; AUC, Area under the Curve; BBB, Blood­Brain barrier; CDK, Chemical Development Kit; CNN, Convolutional Neural Networks; CNS, Central Nervous System; CPI, Compound-protein interaction; CV, Cross Validation; Cheminformatics; DL, Deep Learning; DNA, Deoxyribonucleic acid; Deep Learning; Drug Discovery; ECFP, Extended Connectivity Fingerprints; FDA, Food and Drug Administration; FNN, Fully Connected Neural Networks; FP, Fringerprints; FS, Feature Selection; GCN, Graph Convolutional Networks; GEO, Gene Expression Omnibus; GNN, Graph Neural Networks; GO, Gene Ontology; KEGG, Kyoto Encyclopedia of Genes and Genomes; MACCS, Molecular ACCess System; MCC, Matthews correlation coefficient; MD, Molecular Descriptors; MKL, Multiple Kernel Learning; ML, Machine Learning; Machine Learning; Molecular Descriptors; NB, Naive Bayes; OOB, Out of Bag; PCA, Principal Component Analyisis; QSAR; QSAR, Quantitative structure­activity relationship; RF, Random Forest; RNA, Ribonucleic Acid; SMILES, simplified molecular-input line-entry system; SVM, Support Vector Machines; TCGA, The Cancer Genome Atlas; WHO, World Health Organization; t-SNE, t-Distributed Stochastic Neighbor Embedding