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" Artificial neural network for drug design, delivery, and disposition "
edited by Munish Puri, Yashwant Pathak, Vijay Kumar Sutariya, Srinivas Tipparaju, Wilfrido Moreno.
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BL
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| Record Number
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612402
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dltt
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| Title & Author
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Artificial neural network for drug design, delivery, and disposition\ edited by Munish Puri, Yashwant Pathak, Vijay Kumar Sutariya, Srinivas Tipparaju, Wilfrido Moreno.
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| Publication Statement
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Amsterdam ;Boston :: Elsevier/AP, Academic Press is an imprint of Elsevier,, [2016]
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| ISBN
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9780128015599
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: 0128015594
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Includes bibliographical references and index.
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| Contents
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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.
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| Abstract
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"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." --
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Pharmaceutical technology.
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Pharmacology-- Data processing.
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Neural networks (Computer science)
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Drug Discovery-- methods
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Neural Networks (Computer)
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Drug Delivery Systems
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Automatic Data Processing
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Technology, Pharmaceutical
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Puri, Munish.
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Pathak, Yashwant.
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Sutariya, Vijaykumar B.
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Tipparaju, Srinivas, (Srinivas M.)
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Moreno, Wilfrido, (Wilfrido Alejandro)
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ScienceDirect (Online service).
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