Why We Need Quantitative Dynamic Models

Sci. Signal., 31 March 2009
Vol. 2, Issue 64, p. eg3
DOI: 10.1126/scisignal.264eg3

Why We Need Quantitative Dynamic Models

  1. Ravi Iyengar1,2,*
  1. 1Editorial Board of Science Signaling, American Association for the Advancement of Science, 1200 New York Avenue, N.W., Washington, DC 20005, USA.
  2. 2Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, NY 10029, USA.
  1. *Corresponding author. E-mail: ravi.iyengar{at}mssm.edu

Abstract

Systems biology is changing the way we think about regulatory phenomena: Instead of focusing on individual components and single reactions as rate-limiting steps, we are now considering systems as a whole to understand how regulation arises from multiple interacting components. To understand the mechanisms by which interacting components become regulatory systems, we need to have a quantitative understanding of the system. At the cellular level, this means knowing the concentrations of cellular components, such as proteins, and the reaction rates for interactions between components. Mechanistic understanding of regulatory behavior will be helpful in developing predictive models of relationships between complex genotypes and variable phenotypes.

Citation:

R. Iyengar, Why We Need Quantitative Dynamic Models. Sci. Signal. 2, eg3 (2009).

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