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

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的从头开始的遗传电路。我们将应用分子进化的方法，这些方法已经被证明是非常成功的工程蛋白，具有改进或改变的特性，涉及多抑制子，操作符和启动子的复杂遗传系统。我们相信，进化将被证明是普遍适用于优化单个设备以及复杂的遗传电路，我们的目标将是展示进化搜索如何最好地执行，以建立设备库并将它们组装成功能电路。我们期望这项研究将为从头开始的遗传电路设计建立一个通用策略，并为生物系统和生物复杂性中信息处理的自然算法提供新的见解。本研究将电路设计中的经典方法（描述门的器件物理特性，然后从充分理解的组件组成电路）的优势与生物系统标志的适应机制（突变和选择）强有力地结合起来。

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.