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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London, UK :
Academic Press is an imprint of Elsevier,
[2016]
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 245 | 0 | 0 | |a Artificial neural network for drug design, delivery and disposition / |c edited by Munish Puri, Yashwant Pathak, Vijay Kumar Sutariya, Srinivas Tipparaju, Wilfrido Moreno. |
| 264 | 1 | |a London, UK : |b Academic Press is an imprint of Elsevier, |c [2016] | |
| 264 | 4 | |c �2016 | |
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 588 | 0 | |a Online resource; title from PDF title page (EBSCO, viewed October 20, 2015). | |
| 504 | |a Includes bibliographical references and index. | ||
| 520 | |a 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 researchers more effectively design, develop, and deliver successful drugs. This book illustrates how to use ANN methodologies and models with the intent to treat diseases like breast cancer, cardiac disease, and more. It contains the latest cutting-edge research, an analysis of the benefits of ANN, and relevant industry examples. As such, this book is an essential resource for academic and industry researchers across the pharmaceutical and biomedical sciences. Written by leading academic and industry scientists who have contributed significantly to the field and are at the forefront of artificial neural network (ANN) researchFocuses on ANN in drug design, discovery and delivery, as well as adopted methodologies and their applications to the treatment of various diseases and disorders. | ||
| 505 | 0 | |a 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. | |
| 650 | 0 | |a Pharmaceutical technology. | |
| 650 | 0 | |a Pharmacology |x Data processing. | |
| 650 | 0 | |a Neural networks (Computer science) | |
| 650 | 0 | |a Computer science. | |
| 650 | 0 | |a Electronic data processing. | |
| 650 | 1 | 2 | |a Drug Discovery |x methods |0 (DNLM)D055808Q000379 |
| 650 | 1 | 2 | |a Neural Networks, Computer |0 (DNLM)D016571 |
| 650 | 2 | 2 | |a Drug Delivery Systems |0 (DNLM)D016503 |
| 650 | 2 | 2 | |a Electronic Data Processing |0 (DNLM)D001330 |
| 650 | 2 | 2 | |a Technology, Pharmaceutical |0 (DNLM)D013678 |
| 650 | 6 | |a Techniques pharmaceutiques. |0 (CaQQLa)201-0138380 | |
| 650 | 6 | |a Pharmacologie |0 (CaQQLa)201-0007219 |x Informatique. |0 (CaQQLa)201-0380011 | |
| 650 | 6 | |a R�eseaux neuronaux (Informatique) |0 (CaQQLa)201-0209597 | |
| 650 | 6 | |a Informatique. |0 (CaQQLa)201-0063036 | |
| 650 | 7 | |a computer science. |2 aat |0 (CStmoGRI)aat300054575 | |
| 650 | 7 | |a data processing. |2 aat |0 (CStmoGRI)aat300054636 | |
| 650 | 7 | |a MEDICAL |x Pharmacology. |2 bisacsh | |
| 650 | 7 | |a Electronic data processing |2 fast |0 (OCoLC)fst00906956 | |
| 650 | 7 | |a Computer science |2 fast |0 (OCoLC)fst00872451 | |
| 650 | 7 | |a Neural networks (Computer science) |2 fast |0 (OCoLC)fst01036260 | |
| 650 | 7 | |a Pharmaceutical technology |2 fast |0 (OCoLC)fst01060211 | |
| 650 | 7 | |a Pharmacology |x Data processing |2 fast |0 (OCoLC)fst01060265 | |
| 700 | 1 | |a Puri, Munish., |e editor. | |
| 776 | 0 | 8 | |i Print version: |z 0128015594 |z 9780128015599 |w (OCoLC)913923528 |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780128015599 |z Texto completo |