Signal transduction architectures, which control molecular information processing, frequently contain a large number of coupled chemical conversions and complex structural features such as redundancy, feedback and crosstalk. While this complexity ensures robustness, it complicates signal reprogramming.
The objective of our research program at Cornell is the development of physiochemical modeling tools that can be used to rationally reprogram signal flow. Check out our project pages and publications to learn more!
