Artificial Neural Network for Drug Design, Delivery and Disposition

  • Format
  • Bog, hardback
  • Engelsk

Beskrivelse

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.

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Detaljer
  • SprogEngelsk
  • Sidetal440
  • Udgivelsesdato27-10-2015
  • ISBN139780128015599
  • Forlag Academic Press Inc
  • FormatHardback
Størrelse og vægt
  • Vægt1060 g
  • coffee cup img
    10 cm
    book img
    19,1 cm
    23,5 cm

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    Evolution Brain Data mining Drug design Feedback Fuzzy logic Neural networks Neurobiology Neurotransmitters Medical imaging Controlled release Analysis Pharmacokinetics Machine learning Drug delivery systems Propagation Inhibition Proteomics Central Nervous System Natural products Systems Biology Validation Neuroscience Drug Discovery Metaheuristics Axon Ant colony optimization Linear regression Data-driven Models Synapse Targeting Nonlinear system Design of experiments Partial Least Squares Dendrite Drug formulation Nonlinear modeling Ann Machine learning methods Evolutionary algorithm Drug-Delivery Backpropagation Evolutionary Optimization Cancer Diagnosis Quantitative Structure-Activity Relationships Particle swarm optimization Circuit Cortex Excitation Artificial neural network Artificial neural networks In silico modeling Feature selection: Neuron Medical decision-making Pharmacodynamic modeling Formulation development QSAR Cancer screening Pharmacokinetic modeling Complex Problem Solving Active pharmaceutical ingredient Controlled drug delivery Recognizing patterns ADME ADME-Tox Adaptive modeling and control Ann Classifier Backpropagation model Artificial bee colony Artificial neural network (ANN)Computational modeling Artificial neuron networking Bayesian Regularization Artificial neural networks(ANNs)Clinical Drug delivery device modeling and simulation Drug delivery research Extracting patterns enzyme inhibition Drug transport and delivery Drug administration strategies In vivo in vitro correlation Molecular descriptor Pharmaceutical process optimization Postsurgical blood pressure regulation Quantitative structure-property relationships Pharmaceutical product optimization Prediction and optimization abilities.Prognosis QSAR Analysis Iterated local search Structure-activity relationships.Feed forward Shotgun approach to drug discovery Target deconvolution Virtual screening.Virtual screening Systematic drug discovery efforts Nonlinear correlation Pharmacophore mapping Nuclei feature analysis Nuclear pleomorphism Quantitative structure�activity relationships

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