Systems Biology in Drug Discovery and Development

Systems Biology in Drug Discovery and Development

Editor(s): Daniel L. Young, Seth Michelson

Published Online: 7 NOV 2011 03:05PM EST

Print ISBN: 9780470261231

Online ISBN: 9781118016435

DOI: 10.1002/9781118016435

Series Editor(s): Sean Ekins

About this Book

The first book to focus on comprehensive systems biology as applied to drug discovery and development

Drawing on real-life examples, Systems Biology in Drug Discovery and Development presents practical applications of systems biology to the multiple phases of drug discovery and development. This book explains how the integration of knowledge from multiple sources, and the models that best represent that integration, inform the drug research processes that are most relevant to the pharmaceutical and biotechnology industries.

The first book to focus on comprehensive systems biology and its applications in drug discovery and development, it offers comprehensive and multidisciplinary coverage of all phases of discovery and design, including target identification and validation, lead identification and optimization, and clinical trial design and execution, as well as the complementary systems approaches that make these processes more efficient. It also provides models for applying systems biology to pharmacokinetics, pharmacodynamics, and candidate biomarker identification.

Introducing and explaining key methods and technical approaches to the use of comprehensive systems biology on drug development, the book addresses the challenges currently facing the pharmaceutical industry. As a result, it is essential reading for pharmaceutical and biotech scientists, pharmacologists, computational modelers, bioinformaticians, and graduate students in systems biology, pharmaceutical science, and other related fields.

Table of contents

    1. You have free access to this content
    1. You have free access to this content
  1. Part I: Introduction to Systems Biology in Approach

    1. Chapter 2

      Methods for In Silico Biology: Model Construction and Analysis (pages 7–36)

      Theresa Yuraszeck, Peter Chang, Kalyan Gayen, Eric Kwei, Henry Mirsky and Francis J. Doyle

  2. Part II: Applications to Drug Discovery

  3. Part III: Applications to Drug Development

    1. Chapter 9

      Developing Oncology Drugs Using Virtual Patients of Vascular Tumor Diseases (pages 201–237)

      Zvia Agur, Naamah Bloch, Boris Gorelik, Marina Kleiman, Yuri Kogan, Yael Sagi, D. Sidransky and Yael Ronen

  4. Part IV: Synergies with other Technologies

    1. You have free access to this content

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