程序化细胞定位于自动化的基因编译器-NIHPublic.PDFVIP

NIH Public Access Author Manuscript Curr Opin Biotechnol. Author manuscript; available in PMC 2011 August 9. NIH-PA Author ManuscriptPublished NIH-PA Author Manuscript in final edited NIH-PA Author Manuscript form as: Curr Opin Biotechnol. 2010 August ; 21(4): 572–581. doi:10.1016/j.copbio.2010.07.005. Programming Cells: Towardsan automated “Genetic Compiler” Kevin Clancy1 and Christopher A. Voigt2 Christopher A. Voigt: cavoigt@ 1 Life Technologies, 5791 Van Allen Way, Carlsbad, CA, 90028 2 Department of Pharmaceutical Chemistry, University of California-San Francisco, MC 2540, Room 408C, 1700 4th Street, San Francisco, CA 94158 I. Summary The increasing scale and sophistication of genetic engineering will necessitate a new generation of computer-aided design (CAD). For large genetic programs, keeping track of the DNA on the level of nucleotides becomes tedious and error prone. To push the size of projects, it is important to abstract the designer from the process of part selection and optimization. The vision is to specify genetic programs in a higher-level language, which a genetic compiler could automatically convert into a DNA sequence. Steps towards this goal include: defining the semantics of the higher-level language, algorithms to select and assemble parts, and biophysical methods to link DNA sequence to function. These will be coupled to graphic design interfaces and simulation packages to aid in the prediction of program dynamics, optimize genes, and scan projects for errors. Keywords Computer-aided design; systems biology; synthetic biology; design automation II. Introduction