Principles of Gene Circuit Design (17w5143)
Aleksandra Walczak (CNRS - LPTENS)
Pablo Meyer (IBM)
Michael Elowitz (California Institute of Technology)
Diego Ferreiro (Universidad de Buenos Aires)
Thierry Mora (CNRS)
• Bring together scientists whose research fundamentally depends on understanding different forms of genetic circuitry that ranges from inferring networks using large datasets to signaling networks, metabolic networks, cellular networks and the design of synthetic circuits.
• What set of rules could exemplify design similarities between genetic circuits implemented in different biological systems and performing different biological functions? • What are the key physical principles that limit and allow for the encoding of regulatory function and are they conserved by evolution?
• What computational/experimental tools are necessary to leap forward towards generating the predictable synthetic metabolic circuits that are fundamental to produce new medicines and biofuels?
• Discuss a possible DREAM competition testing the predictions of models inferred from genome-wide data with data generated from single cell dynamics. How could we implement a computational platform to build models and test their predictions?
What types of genetic circuit designs are capable of implementing different cellular behaviors, and what trade-offs exist between different designs?
The conference will bring together many of the pioneers and leading experts in these diverse fields for a few days of extensive, interdisciplinary and informal discussion. Our goal is to create a forum where knowledge is shared, hoping that this diverse community will discuss how the lack of understanding of design principles is limiting the advancement of genetic circuit engineering and help define together the agenda for understanding genetic circuit design.