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ITR: Solution Phase Computation with Enzymatic Networks

ITR: Solution Phase Computation with Enzymatic Networks
ITR:使用酶网络进行解相计算
批准号:
0324845
负责人:
Milan Stojanovic
金额:
$0.0万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2003
资助国家:
美国
项目状态:
已结题
起止时间:
2003-09-15 至 2009-08-31

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英文摘要
AbstractAugust 7, 2003ITR: Solution Phase Computation with Enzymatic NetworksDarko StefanovicColumbia University03248845Communication between oligonucleotide-scale logic gates based on phosphodiesterase and ligase enzymatic reactions as well as nanoparticle beads is being investigated in order to achieve scalable and robust molecular computation that can be applied to contol of autonomous molecular devices. In particular, medium-scale feedforward (cascaded) and feedback circuits and programmable arrays are being designed and evaluated in the laboratory. The circuits being developed include oscillators, clocks, flip-flop memories, and counters with internal error correction. Applications of these circuits for engineering properties of cells are being investigated. Flow-cytometry is being used to develop methodology that will be able to analyze massively parallel networks of individual computation elements.Through this work, which is interdisciplinary, and involves circuit design, mathematical modeling, and laboratory work, the engineering principles needed to synthesize large-scale molecular circuits for in vitro computations and small circuits for intracellular and in vivo applications are being developed. Foundations are being laid for applications of these circuits in molecular autonomous devices which can analyze the environment and respond in preprogrammed fashion to changes in environment. The computational strategy which will be implemented in complex networks of digital logic circuits-will find application in the design of various sorts of synthetic cellular systems.A new generation of students from computer science and biochemistry is being trained to understand and appreciate the problems and approaches of both disciplines. Also, high-school students are being introduced through participation in this project to advanced scientific concepts.
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SHF: Collaborative Research: Biocompatible I/O Interfaces for Robust Bioorthogonal Molecular Computing
  • 批准号:
    1763632
  • 项目类别:
    Standard Grant
  • 资助金额:
    $10.0万
  • 财政年份:
    2018
  • 负责人:
    Milan Stojanovic
  • 依托单位:
SHF: Large: Collaborative Research: Molecular computing for the real world
  • 批准号:
    1518715
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $40.0万
  • 财政年份:
    2015
  • 负责人:
    Milan Stojanovic
  • 依托单位:
CDI-Type I: Collaborative Research: Supervised Learning in Molecular Classifiers
  • 批准号:
    1026592
  • 项目类别:
    Standard Grant
  • 资助金额:
    $35.0万
  • 财政年份:
    2010
  • 负责人:
    Milan Stojanovic
  • 依托单位:
CDI-Type II: Computing with Biomolecules; From Network Motifs to Complex and Adaptive Systems
  • 批准号:
    1026591
  • 项目类别:
    Standard Grant
  • 资助金额:
    $55.0万
  • 财政年份:
    2010
  • 负责人:
    Milan Stojanovic
  • 依托单位:
国内基金
海外基金
Navigating Sustainability: Understanding Environm ent,Social and Governanc e Challenges and Solution s for Chinese Enterprises in Pakistan's CPEC Framew ork
  • 批准号:
    --
  • 项目类别:
    外国学者研究基金项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    Noshaba Aziz
  • 依托单位: