Artificial neural network for drug design, delivery and disposition

Munish Puri (Editor), Yashwant Pathak (Editor), Vijay Kumar Sutariya (Editor), Srinivas Tipparaju (Editor), Wilfrido Moreno (Editor)

Research output: Book/ReportAnthology

11 Citations (Scopus)

Abstract

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) research Focuses on ANN in drug design, discovery and delivery, as well as adopted methodologies and their applications to the treatment of various diseases and disorders Chapters cover important topics across the pharmaceutical process, such as ANN in structure-based drug design and the application of ANN in modern drug discovery Presents the future potential of ANN-based strategies in biomedical image analysis and much more.

Original languageEnglish
Place of PublicationAmsterdam
PublisherElsevier Inc.
Number of pages440
ISBN (Print)9780128015599
DOIs
Publication statusPublished - 2016
Externally publishedYes

Keywords

  • Artificial neural networks
  • pharmaceutical research
  • Drug Design
  • Drug delivery

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  • Cite this

    Puri, M., Pathak, Y., Sutariya, V. K., Tipparaju, S., & Moreno, W. (Eds.) (2016). Artificial neural network for drug design, delivery and disposition. Elsevier Inc. https://doi.org/10.1016/C2014-0-00253-5