Biodiversity and Ecosystem Informatics - BDEI -Bioinformatic Prediction of Functions of Unculturable Microbes in Ecosystems

生物多样性和生态系统信息学 - BDEI - 生态系统中不可培养微生物功能的生物信息学预测

• 批准号: 0131899
• 负责人: Allan Dickerman
• 金额: $ 10万
• 依托单位: Virginia Polytechnic Institute and State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-10-01 至 2003-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0131899&HistoricalAwards=false
• 关键词: Biodiversity; Ecosystem; Informatics; BDEI; Bioinformatic

EIA-0131899Dickerson, AllanVirginia Polytechnic Institute and State UniversitySUMMARYCells routinely perform complex computational tasks that enable them to control the orchestrationof thousands of genes and communicate with other cells to manifest emergent properties such as growthand differentiation.Understanding and engineering the algorithms underlying the complex computationalmachinery of cells should have significant impact in science and technology,particularly biotechnology,biocomputation and medicine.Several notable recent reports demonstrate that it is possible to design and construct simple denovo genetic circuits such as a switch and an oscillator in Escherichia coli .This work also revealed thatimplementation of even the most simple circuits in vivo requires tedious optimization of often poorly-understood protein-DNA interactions and mRNA and protein stabilities,among other parameters.Wepropose 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.

EIA-0131899Dickerson，Allanvirginia理工研究所和州立大学少女通常执行复杂的计算任务，使它们能够控制数千个基因的管弦乐，并与其他细胞进行沟通，并与其他细胞进行沟通，以表现出诸如生长和工程的重大影响和工程的典型范围，以实现和工程的影响。生物技术，生物成分和药物。最近的著名报道表明，可以设计和构建简单的Denovo遗传回路，例如开关和大肠杆菌中的振荡器。这项工作还揭示了体验中最简单的电路，即使体内最简单的回路都需要稳定的稳定性，通常是稳定的，通常是稳定的，通常是稳定的相互作用的相互作用和ERTERNA互动的蛋白质素质，并需要参数。为建立从头遗传学的功能性的高效，进化设计策略。我们将应用分子进化的方法，这些方法已证明，这些方法已证明具有改进或改变的特性的工程化蛋白质，这些蛋白质具有改善或改变的性质，以使其涉及复杂的遗传学范围，因为众所周知，要及其杂货人的遗传驱动器，我们将成为元素，我们的遗传驱动器会及格，我们将成为元素，我们的遗传范围均能供应。我们将供应范围。电路，我们的目标是最好地演示进化搜索，以构建设备的库并组装Theminto功能电路。