Institute for Systems Biology
Nathan Price’s research on Complex Biomolecular Networks is relevant to ENIGMA: We are interested in the structure, dynamics, and information-processing capabilities of complex biomolecular networks. These networks can be interrogated using high-throughput measurement technologies (genomics, transcriptomics, proteomics, metabolomics, CHIP-chip, etc.) and computational network models can be built to explain and even predict the outcome of such experiments. These network models can be of many types, including genome-scale biochemical networks with known stoichiometries, statistical inference models, kinetic models, discrete dynamic networks, probabilistic networks and so forth. Predictive cell-scale models will enable synthetic biology and cellular engineering by allowing for the rationale design of cells as an engineering problem. These engineering designs can have applications to many important challenges including for bioenergy and medicine.