Buch, Englisch, 310 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 450 g
Buch, Englisch, 310 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 450 g
ISBN: 978-0-12-824386-2
Verlag: Elsevier Science
Autoren/Hrsg.
Weitere Infos & Material
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