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Artificial neural network for drug design, delivery and disposition /

Artificial Neural Network for Drug Design, Delivery and Disposition provides an in-depth look at the use of artificial neural networks (ANN) in pharmaceutical research. With its ability to learn and self-correct in a highly complex environment, this predictive tool has tremendous potential to help r...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Puri, Munish (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London, UK : Academic Press is an imprint of Elsevier, [2016]
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Section 1. Basics of ANN: concept and strategy in drug design
  • 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
  • Section 2. Basics and application of ANN in drug discovery
  • 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
  • Section 3. ANN in 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
  • Section 4. ANN in drug disposition
  • 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
  • Section 5. ANN in various applications in medicine
  • 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.