Title :
Computational Synthetic Biology: Progress and the Road Ahead
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Utah, Salt Lake City, UT, USA
Abstract :
Synthetic biology promises to leverage engineering principles to enable model-based design of genetic circuits. To be successful, advancements are needed in both experimental and computational methods to support this new approach. This paper focuses on the progress on the computational side, the remaining challenges, and the road ahead. While much work remains to be done for computational methods to truly have impact on experimental synthetic biology, collaborations between computational and experimental synthetic biologists have the potential for tremendous impact in the areas of health, energy, and the environment.
Keywords :
biology computing; biomedical electronics; electronic design automation; genetic algorithms; logic circuits; logic design; network synthesis; computational method; computational synthetic biologists; computational synthetic biology; engineering principles; experimental method; experimental synthetic biologists; genetic design automation; model-based genetic circuit design; Biological system modeling; DNA; Integrated circuit modeling; Proteins; Switches; Synthetic biology; SBML; SBOL; Synthetic biology; genetic circuits; genetic design automation;
Journal_Title :
Multi-Scale Computing Systems, IEEE Transactions on
DOI :
10.1109/TMSCS.2015.2478442