Pharmaceutical data mining : approaches and applications for drug discovery / edited by Konstantin V. Balakin.

Format
Book
Language
English
Published/​Created
Hoboken, N.J. : Wiley, [2010], ©2010.
Description
xvi, 561 pages, 4 unnumbered pages of plates : illustrations (some color) ; 25 cm.

Availability

Copies in the Library

Location Call Number Status Location Service Notes
ReCAP - Remote StorageRM300 .P475 2010 Browse related items Request

    Details

    Subject(s)
    Series
    Wiley series on technologies for the pharmaceutical industry. [More in this series]
    Bibliographic references
    Includes bibliographical references and index.
    Contents
    • Pt. I. Data Mining in the Pharmaceutical Industry: A General Overview
    • 1. A History of the Development of Data Mining in Pharmaceutical Research / David J. Livingstone and John Bradshaw
    • 2. Drug Gold and Data Dragons: Myths and Realities of Data Mining in the Pharmaceutical Industry / Barry Robson and Andy Vaithiligam
    • 3. Application of Data Mining Algorithms in Pharmaceutical Research and Development / Konstantin V. Balakin and Nikolay P. Savchuk
    • Pt. II. Chemoinformatics7based Applications
    • 4. Data Mining Approaches for Compound Selection and Iterative Screening / Martin Vogt and Jurgen Bajorath
    • 5. Prediction of Toxic Effects of Pharmaceutical Agents / Andreas Maunz and Christoph Helma
    • 6. Chemogenomics-Based Design of GPCR-Targeted Libraries Using Data MiningTechniques / Konstantin V. Balakin and Elena V. Bovina
    • 7. Mining High-Throughput Screening Data by Novel Knowledge-Based Optimization Analysis / S. Frank Yan, Frederick J. King, Sumit K. Chanda, Jeremy S. Caldwell, Elizabeth A. Winzeler and Yingyao Zhou
    • Pt. III. Bioinformatics-Based Applications
    • 8. Mining DNA Microarray Gene Expression Data / Paolo Magni
    • 9. Bioinformatics Approaches for Analysis of Protein-Ligand Interactions / Munazah Andrabi, Chioko Nagao, Kenji Mizuguchi and Shandar Ahmad
    • 10. Analysis of Toxicogenomic Databases / Lyle D. Burgoon
    • 11. Bridging the Pharmaceutical Shortfall: Informatics Approaches to the Discovery of Vaccines, Antigens, Epitopes, and Adjuvants / Matthew N. Davies and Darren R. Flower
    • Pt. IV. Data Mining Methods in Clinical Development
    • 12. Data Mining in Pharmacovigilance / Manfred Hauben and Andrew Bate
    • 13. Data Mining Methods as Tools for Predicting Individual Drug Response / Audrey Sabbagh and Pierre Darlu
    • 14. Data Mining Methods in Pharmaceutical Formulation / Raymond C. Rowe and Elizabeth A. Colbourn
    • Pt. V. Data Mining Algorithms and Technologies
    • 15. Dimensionality Reduction Techniques for Pharmaceutical Data Mining / Igor V. Pletnev, Yan A. Ivanenkov and Alexey V. Tarasov
    • 16. Advanced Artificial Intelligence Methods Used in the Design of Pharmaceutical Agents / Yan A. Ivanenkov and Ludmila M. Khandarova
    • 17. Databases for Chemical and Biological Information / Tudor I. Oprea, Liliana Ostopovici-Halip and Ramona Rad-Curpan
    • 18. Mining Chemical Structural Information from the Literature / Debra L. Banville.
    ISBN
    • 9780470196083 (cloth)
    • 0470196084 (cloth)
    LCCN
    2009026523
    OCLC
    423572184
    RCP
    C - S
    Statement on language in description
    Princeton University Library aims to describe library materials in a manner that is respectful to the individuals and communities who create, use, and are represented in the collections we manage. Read more...