Project Description: The overall objective of this proposal is to perform detailed measurements of local biophysical parameters and global morphogen gradient properties to build and constrain a predictive, computational model of the Dorsal/NF-κB gradient in the early Drosophila embryo. The models generated as part of this project will test the central hypothesis of whether these models necessarily contain “sloppy parameters,” (wide ranges of estimated parameters that fit the experimental data) or may lead to discovering additional aspects that can improve the model. The proposed research will also include our general knowledge of the NF-κB signaling module that can be found in animals from Cnidarians to humans. Our lab is implementing image processing approaches for improving extraction of gene expression data and parameter estimation approaches for system identification.
Contributors: Sharva Hiremath.
