Computational models greatly benefit metabolic engineering efforts by helping to elucidate experimental observations and predict engineering targets for improved cellular performance. Additionally, supplementing experimental efforts with computational modeling can reduce the loss of time and resources in the lab by narrowing down testing conditions. In optimal cases, computational models can...
The ability to efficiently sense and respond to molecular signals is crucial for any organism's survival. Sensitive, specific and timely, microbial sensing systems provide an excellent starting point for the engineering of single-celled organisms to detect new molecules of human interest. Towards this goal, our lab pursues the engineering of...