Collaborative Research: ITR/SY: Molecular Computation with Automated Microfluidic Sensors (MCAMS)

合作研究：ITR/SY：使用自动微流控传感器 (MCAMS) 进行分子计算

• 批准号: 0121074
• 负责人: Ronald Davis
• 金额: $ 41.34万
• 依托单位: Stanford University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-10-01 至 2005-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0121074&HistoricalAwards=false
• 关键词: Collaborative; Research; ITR; SY; Molecular

EIA-0121074Davis, RonaldStanford UniversityCollaborative Prosposal-ITR/SY: Molecular Computational with Automated Microfluide Sensors\(MCAMS\) The main objective of this cross-disciplinary project between Princeton University, Stanford University and UC Berkeley is to combine microfluidic technology with recently-developed algorithms of RNA-based computing to create a compact, automated nucelotide-based computational device capable of rapid detection of the computational output. Realization of such a device would greatly impact not only the field of molecular computing but also the general field of molecular biology, as the proposed platform technologies would provide novel, advanced tools for biological research.The project is addressing three main questions: - Can a microfluidic device be used to automate RNA-based computation? - Can alternative detection methods be used to avoid labor-intensive readout steps in RNA-based computation? -Can these detection methods be applied to other problems encountered in general biological v research? The success of this project will represent a leap forward in the direction of "hands-free" molecular computation. In addition, it will provide the necessary platform technologies to accelerate biological research, particularly in the areas of rapid DNA sequencing and fingerprinting.

斯坦福大学合作提案- itr /SY：自动微流体传感器的分子计算\(MCAMS\)普林斯顿大学，斯坦福大学和加州大学伯克利分校之间的这个跨学科项目的主要目标是将微流体技术与最近开发的基于rna的计算算法相结合，以创建一个紧凑的，自动化的基于核苷酸的计算设备，能够快速检测计算输出。这种设备的实现不仅会极大地影响分子计算领域，还会影响分子生物学的一般领域，因为所提出的平台技术将为生物学研究提供新颖、先进的工具。该项目主要解决三个问题：-微流体装置可以用于自动化基于rna的计算吗？-是否可以使用替代检测方法来避免基于rna的计算中劳动密集型的读出步骤？-这些检测方法可以应用于一般生物研究中遇到的其他问题吗？这个项目的成功将代表着“免提”分子计算方向的飞跃。此外，它将提供必要的平台技术来加速生物研究，特别是在快速DNA测序和指纹识别领域。