COVID-19 Update: We are currently shipping orders daily. However, due to transit disruptions in some geographies, deliveries may be delayed. To provide all customers with timely access to content, we are offering 50% off Science and Technology Print & eBook bundle options. Terms & conditions.
Systems Biomedicine - 1st Edition - ISBN: 9780123725509, 9780080919836

Systems Biomedicine

1st Edition

Concepts and Perspectives

0.0 star rating Write a review
Editors: Edison Liu Douglas Lauffenburger
Hardcover ISBN: 9780123725509
eBook ISBN: 9780080919836
Imprint: Academic Press
Published Date: 25th September 2009
Page Count: 448
Sales tax will be calculated at check-out Price includes VAT/GST
Price includes VAT/GST

Institutional Subscription

Secure Checkout

Personal information is secured with SSL technology.

Free Shipping

Free global shipping
No minimum order.


Systems biology is a critical emerging field that quantifies and annotates the complexity of biological systems in order to construct algorithmic models to predict outcomes from component input. Applications in medicine are revolutionizing our understanding of biological processes and systems.

Systems Biomedicine is organized around foundations, computational modeling, network biology, and integrative biology, with the extension of examples from human biology and pharmacology, to focus on the applications of systems approaches to medical problems. An integrative approach to the underlying genomic, proteomic, and computational biology principles provides researchers with guidance in the use of qualitative systems and hypothesis generators. To reflect the highly interdisciplinary nature of the field, careful detail has been extended to ensure explanations of complex mathematical and biological principles are clear with minimum technical jargon.

Key Features

  • Organized to reflect the important distinguishing characteristics of systems strategies in experimental biology and medicine
  • Provides precise and comprehensive measurement tools for constructing a model of the system and tools for defining complexity as an experimental dependent variable
  • Includes a thorough discussion of the applications of quantitative principles to biomedical problems


cell, molecular, and developmental biology, genetics/ genomics, mathematics, biotechnology, biological and chemical engineering, physiology, and bioinformatics researchers involved in systems biology studies; students of systems biology

Table of Contents

I. Foundations of Systems Biology Genomic Technologies for Systems Biology Proteomic Technologies

II. Computational Modeling of Biological Systems Dynamic Systems Analysis Spatio-temoral Modeling of Cellular Systems High-level modeling of biological networks High-Performance Computing Modeling Software

III. Network Biology Protein Interaction Networks Signaling Networks with Modeling Strategies Protein networks in integrin-mediated adhesions Network Imaging RNAi networks

IV. Integrative Biology of Higher Biosystems Signal Processing and Integration During Development Systems Biology and Stem Cell Biology Application of immunologic modeling in drug discovery and development

V. Systems Medicine Applications Systems Pharmacology


No. of pages:
© Academic Press 2009
25th September 2009
Academic Press
Hardcover ISBN:
eBook ISBN:

About the Editors

Edison Liu

Affiliations and Expertise

Genome Institute of Singapore, Singapore

Douglas Lauffenburger

Affiliations and Expertise

Massachusetts Institute of Technology, Cambridge, MA, USA

Ratings and Reviews