Artificial neural network for drug design, delivery, and disposition
| Main Authors: | , , , , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Amsterdam :
Elsevier ,
c2016
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| Subjects: |
Table of Contents:
- 1. Introduction to artificial neural network (ANN) as a predictive tool for drug design, discovery, delivery, and disposition: basic concepts and modeling
- 2. The role of artificial neural networks on target validation in drug discovery and development
- 3. Computational basis of neural elements
- 4. Genetic algorithm optimization of Bayesian-regularized artificial neural networks in drug design
- 5. Neurobiological computation and neural networks
- 6. Application of artificial neural networks in modern drug discovery
- 7. Impact and challenges of chemoinformatics in drug discovery
- 8. Impact of artificial neural networks in QSAR and computational modeling
- 9. Data mining in drug discovery and design
- 10. Artificial neural networking in controlled drug delivery
- 11. Artificial neural networks in drug transport modeling and simulation-I
- 12. Artificial neural networks in drug transport modeling and simulation-II
- 13. Artificial neural network as helping tool for drug formulation and drug administration strategies
- 14. ANN in pharmaceutical product and process development
- 15. Classic formal logic and nonclassical logics: basis of research on neural networks
- 16. Neural networks and computational complexity
- 17. Adaptive modeling and intelligent control of a sodium nitroprusside delivery system
- 18. Recent advances of biochemical analysis: ANN as a tool for earlier cancer detection and treatment
- 19. Role of an artificial neural network classifier in nuclear pleomorphic feature analysis of histopathological images of breast cancer
- 20. Clinical applications of artificial neural networks in pharmacokinetic modeling