1. Computational intelligence methods in protein-ligand interactions 2. Random forest method for predicting protein ligand-binding residues 3. Encoders of protein residues for identifying protein-protein interacting residues 4. Identification of hot spot residues in protein interfaces from protein sequences and ensemble methods 5. Semi-supervised prediction of protein interaction sites from unlabeled sample information 6. Developing computational model to predict protein-protein interaction sites based on XGBoost algorithm 7. Evolutional algorithms and their applications in protein long-range contact prediction 8. A novel robust geometric approach for modelling protein-protein interaction networks 9. Prediction of protein-protein interactions from amino acid sequences with ensemble extreme learning machines and principal component analysis 10. Ensemble learning-based prediction on drug-target interactions 11. Convolutional neural networks for drug-target interaction prediction 12. Ensemble learning methods for drug-induced liver injury identification 13. Database construction for mutant protein interactions 14. A linear programming computational framework integrates phosphor-proteomics and prior knowledge to predict drug efficacy