ITR/SY(CISE): Biomolecular Computing by DNA/Enzyme Systems

ITR/SY(CISE)：DNA/酶系统的生物分子计算

• 批准号: 0113443
• 负责人: Erik Winfree
• 金额: $ 44.96万
• 依托单位: California Institute of Technology
• 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: 2001-09-15 至 2004-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0113443&HistoricalAwards=false
• 关键词: ITR; SY; CISE; Biomolecular; Computing

EIA-0113443Winfree, ErikCalifornia Institute of TechnologyTitle: Biomolecular Computing by DNA/Enzyme SystemsDr. Erik Winfree and Dr. Hideo Mabuchi are working together to develop techniques and instruments for high-precision quantitative analysis of the DNA molecular devices. These are being designed, characterized and optimized to investigate issues such as robustness and error-tolerance of these DNA molecular devices. The technical objectives being achieved in this project are: development of spFRET instrument capable of counting individual photons from single molecules; characterization of conformal states, kinetics, and thermodynamics of DNA switches; characterization of the activities of two enzymes, RNAP and RNase, on the DNA switches; development of stochastic models of in vitro transcriptional circuits; and investigation of robust algorithms and error-control for transcriptional circuits.Through this project, the PIs are establishing a set of experimental systems and techniques for exploring computation by biological molecules. This will provide fundamental knowledge and principles for nanoscale computation, such as models of computation, molecular algorithms, physical limits, sources of error and error correction strategies. Thus the aim is to leverage the advanced control over biochemical systems to begin establishing a broader foundation for reliable molecular computing.

EIA-0113443Winfree，Erik 加州理工学院标题：DNA/酶系统的生物分子计算博士。 Erik Winfree 和 Hideo Mabuchi 博士正在共同开发用于 DNA 分子装置高精度定量分析的技术和仪器。这些正在被设计、表征和优化，以研究这些 DNA 分子设备的鲁棒性和容错性等问题。该项目实现的技术目标是：开发能够对单个分子中的单个光子进行计数的 spFRET 仪器； DNA 开关的共形态、动力学和热力学的表征； DNA 开关上两种酶 RNAP 和 RNase 活性的表征；体外转录回路随机模型的开发；通过该项目，PI 正在建立一套实验系统和技术，用于探索生物分子的计算。 这将为纳米级计算提供基础知识和原理，例如计算模型、分子算法、物理极限、误差源和纠错策略。 因此，我们的目标是利用对生化系统的先进控制，开始为可靠的分子计算奠定更广泛的基础。