Overview

It is evident that biochemical control is not strictly hierarchical and that intermediary metabolism can contribute to control of regulatory pathways. Metabolic studies are therefore increasingly important in gene function analyses, and an increased interest in metabolites as biomarkers for disease progression or response to therapeutic intervention is also evident in the pharmaceutical industry. This book offers guidelines to currently available technology and bioinformatics and database strategies now being developed. Evidence is presented that metabolic profiling is a valuable addition to genomics and proteomics strategies devoted to drug discovery and development, and that metabolic profiling offers numerous advantages.

Full Product Details

Author:   George G. Harrigan ,  Royston Goodacre
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 2003
Dimensions:   Width: 15.50cm , Height: 1.80cm , Length: 23.50cm
Weight:   0.539kg
ISBN:  

9781461350255

ISBN 10:   1461350255
Pages:   335
Publication Date:   23 October 2012
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1. Introduction.- 2. Metabolome And Proteome Profiling For Microbial Characterization.- 3. Can 1H NMR Derived Metabolic Profiles Contribute To Proteomic Analyses?.- 4. Application Of Metabonomics In The Pharmaceutical Industry.- 5. Metabolic Profiling In Tumors By In Vivo And In Vitro NMR Spectroscopy.- 6. Raman Spectroscopy For Whole Organism And Tissue Profiling.- 7.Metabolic Fingerprinting With Fourier Transform Infrared Spectroscopy.- 8.Metabolomic Analysis With Fourier Transform Ion Cyclotron Resonance Mass Spectrometry.- 9.Stable Isotope-Based Dynamic Metabolic Profiling In Disease And Health.- 10. The Role Of Metabolomics In Systems Biology.- 11. Use Of Metabolomics To Discover Metabolic Patterns Associated With Human Diseases.- 12. Bioactive Lipids In Reproductive Diseases.- 13. Evolutionary Computation For The Interpretation Of Metabolomic Data.- 14. Dynamic Profiling And Canonical Modeling.- 15. Databases, Data Modeling And Schemas.- 16. Databases And Visualization For Metabolomics.- 17. The Human Metabolomics.

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