Theory-based Design of Synthetic Genetic Circuits Incorporating Biophysical Models, Stochastic Dynamics, and Evolutionary Robustness
Abstract
This BRI grant focuses on developing a theoretical framework for synthetic biology design with a specific emphasis on robustness. Specifically, current parts-off-the shelf approaches are unable to deliver parts and circuits with adequate functional robustness to genetic, environmental, and evolutionary pressures. This work uses a DNA-design centric approach to create new and robust parts and circuits guided by biophysical, thermodynamic, statistical, and stochastic models in addition to evolution. Such a theoretical framework can: (1) predict a genetic parts function according to its DNA sequence, (2) develop optimal sequences for performance, (3) specifically program robustness, and (4) predict response and fault modes of a system. This project will focus on the establishment of robust, fault-tolerant cis-acting sequences and the development of fundamental principles and models for synthetic circuit design. To demonstrate the power and generality of this approach, we will investigate two model organisms, E. coli and yeast.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 19, 2022
- Accession Number
- AD1230132
Entities
People
- Hal S. Alper
Organizations
- University of Texas at Austin