You are currently viewing the abstract.
View Full TextLog in to view the full text
AAAS login provides access to Science for AAAS members, and access to other journals in the Science family to users who have purchased individual subscriptions.
Register for free to read this article
As a service to the community, this article is available for free. Existing users log in.
More options
Download and print this article for your personal scholarly, research, and educational use.
Buy a single issue of Science for just $15 USD.
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.
