Qubic: Biological Information Technology Systems: Self-Perfecting Genetic Circuits

EIA-0130613 Arnold，FrancesCalifornia Institute of Technology BITS：生物信息技术系统- BITS：自我完善的遗传电路我们建议开发有效的，进化的设计策略来构建功能性的从头遗传电路。我们将应用分子进化的方法，这已被证明是非常成功的增强蛋白质与改善或改变的性质，复杂的遗传系统，涉及multiplerepressors，运营商，和启动子。我们相信，进化将被证明是普遍适用于优化个人设备以及复杂的遗传电路，我们的目标是证明进化搜索是如何最好地执行的，以建立设备库并将其组装成功能电路。我们预计这项研究将为从头遗传电路设计建立一个通用策略，并为信息处理的自然算法提供新的见解in biological生物systems系统and biological生物complex复杂性.这项研究充分利用了电路设计中经典方法的优势（描述门的器件物理特性，然后从很好理解的组件中合成电路）与适应机制（突变和选择），这是生物系统的标志。

EIA-0130613Arnold, FrancesCalifornia Institute of TechnologyBITS: Biological Information Technology Systems - BITS: Self-Perfecting Genetic CircuitsWe propose to develop efficient, evolutionary design strategies for constructing functional de novo geneticcircuits. We will apply methods of molecular evolution, which have proven highly successful forengineering proteins with improved or altered properties, to complex genetic systems involving multiplerepressors, operators, and promoters. We believe that evolution will prove to be generally applicable foroptimizing individual devices as well as complex genetic circuits, and our goal will be to demonstratehow evolutionary searches are best performed in order to build libraries of devices and assemble theminto functional circuits.We anticipate that this research will establish a general strategy for de novo genetic circuit designand provide new insight into the natural algorithms of information processing in biological systems andbiological complexity. This research exploits, in powerful combination, the strengths of classicalapproaches in electrical circuit design (characterizing the device physics of gates, then composingcircuits from well understood components) with adaptation mechanisms (mutation and selection)that arethe hallmark of biological systems.