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

EDITORIAL GUIDES

Why We Need Quantitative Dynamic Models

Ravi Iyengar1,2*

1 Editorial Board of Science Signaling, American Association for the Advancement of Science, 1200 New York Avenue, N.W., Washington, DC 20005, USA.
2 Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, NY 10029, USA.

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.

* Corresponding author. E-mail: ravi.iyengar{at}mssm.edu

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

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