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Computational systems biology

Author

Listed:
  • Hiroaki Kitano

    (Sony Computer Science Laboratories Inc.
    ERATO Kitano Symbiotic Systems Project, Japan Science and Technology Corporation, and The Systems Biology Institute
    School of Fundamental Science and Technology, Keio University
    Control and Dynamical Systems, California Institute of Technology)

Abstract

To understand complex biological systems requires the integration of experimental and computational research — in other words a systems biology approach. Computational biology, through pragmatic modelling and theoretical exploration, provides a powerful foundation from which to address critical scientific questions head-on. The reviews in this Insight cover many different aspects of this energetic field, although all, in one way or another, illuminate the functioning of modular circuits, including their robustness, design and manipulation. Computational systems biology addresses questions fundamental to our understanding of life, yet progress here will lead to practical innovations in medicine, drug discovery and engineering.

Suggested Citation

  • Hiroaki Kitano, 2002. "Computational systems biology," Nature, Nature, vol. 420(6912), pages 206-210, November.
    • Handle: RePEc:nat:nature:v:420:y:2002:i:6912:d:10.1038_nature01254
    DOI: 10.1038/nature01254
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