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Applications of sensitivity analysis for drug discovery and development in the ErbB network

From Q-bio

Brian Harms, Allen Lee, Ricardo Paxson, Ulrik Nielsen, and Birgit Schoeberl

Abstract
Merrimack Pharmaceuticals is using quantitative biochemical network models to guide the development of oncology therapeutics. Here, using a validated ErbB receptor network model that includes ligand-receptor binding, receptor trafficking, and intracellular signal transduction, we present the use of global and local sensitivity analysis as in silico tools applied to drug targeting and biomarker identification. We find that sensitivity analysis gives quantitative insights into issues including network topology and the importance of cellular heterogeneity with respect to protein expression.

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