ChBE 474/494/594 - Systems Biology

This course will cover the process of reconstructing complex biochemical reaction networks in cells and mathematically simulating their behaviors. Topics covered will include: reconstruction of metabolic networks, regulatory networks and signaling networks; bottom-up and top-down approaches; principles underlying high-throughput experimental technologies and examples on how this data is used for network reconstruction, consistency checking, and validation; mathematical models of reconstructed reaction networks and simulation of their emergent properties; classical kinetic theory; and constraints-based models.

Methods that are scalable and integrate multiple cellular processes will be emphasized. Existing genome-scale models will be described and computations performed. Emphasis will be on studying the genotype-phenotype relationship in an in silico model driven fashion, and comparisons with phenotypic data will be emphasized.

Full Course Description