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COMPUTATIONAL SYSTEMS BIOLOGY: THE INTEGRATION OF DATA ACROSS MULTIPLE LEVELS OF BIOLOGICAL ORGANIZATION TO UNDERSTAND HOW PERTURBATIONS OF NORMAL BIOLOGY BECOME ADVERSE HEATH EFFECTS
Citation:
CONOLLY, R. COMPUTATIONAL SYSTEMS BIOLOGY: THE INTEGRATION OF DATA ACROSS MULTIPLE LEVELS OF BIOLOGICAL ORGANIZATION TO UNDERSTAND HOW PERTURBATIONS OF NORMAL BIOLOGY BECOME ADVERSE HEATH EFFECTS. Presented at National Research Council Committee on Models in the Regulatory Process, Workshop on Emerging Issues for Regulatory Environmental Modeling, Washington, DC, December 02, 2005.
Impact/Purpose:
This presentation outlines the 1) Biological mechanisms of dose-response and risk assessment, 2) Computational systems biology, 3) Examples and technical challenges, and 4) Regulatory acceptance.
Description:
This presentation outlines the 1) Biological mechanisms of dose-response and risk assessment, 2) Computational systems biology, 3) Examples and technical challenges, and 4) Regulatory acceptance.