Decision-Making Deoxyribozyme Networks
Decision-Making Deoxyribozyme Networks
批准号:
0218262
负责人:
Milan Stojanovic
金额:
$44.97万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2002
资助国家:
美国
项目状态:
已结题
起止时间:
2002-09-01 至 2005-08-31
中文摘要
EIA-0218262米兰N. Stojanovic哥伦比亚大学决策脱氧核酶网络在这个项目中,酶的硅模拟网络正在开发中。 这些网络将再现单个硅器件的功能,以执行具有分析输入和决策输出的布尔代数功能,并且它们代表了具有并入药物递送或分析系统的潜力的分子的第一人工自主决策集。 这些网络的计算组件(即“电路”)由基于脱氧核酶的逻辑门(YESA,NOTA,AANDB,YESANOTB)模块化制成,这些逻辑门具有寡核苷酸作为输入和输出。 个体分子门之间的通信是通过连接发展的,其中由上游门的催化作用形成或降解的输出寡核苷酸是下游门的输入变构效应物。 这种类型的通信允许单个元件的串行连接或平铺。 计算机程序正在开发中,这将有助于从定制的材料中构建任何决策树,然后将其与基于脱氧核酶的传感器阵列耦合。 例如,一个正在建设中的分析网络感测寡核苷酸、小分子和蛋白质的存在,并决定是否释放荧光信号。
英文摘要
EIA-0218262Milan N. StojanovicColumbia UniversityDecision-Making Deoxyribozyme NetworksIn this project, silicomimetic networks of enzymes are being developed. These networks will reproduce the functionality of individual silicon devices to perform Boolean algebra functions with analytical inputs and decision outputs and they represent first artificial autonomous decision-making sets of molecules with potential for incorporation into drug delivery or analytical systems. The computation components of these networks (i.e. "circuits") are being made modularly from deoxyribozyme-based logic gates (YESA, NOTA, AANDB, YESANOTB), which have oligonucleotides as inputs and outputs. Communication between individual molecular gates is being developed through connections in which an output oligonucleotide, formed or degraded by a catalytic action of an upstream gate, is an input allosteric effector of a downstream gate. This type of communication allows serial connection or tiling of individual elements. Computer program is being developed, which would aid in the construction of any decision-making tree from custom-made materials and then coupled to deoxyribozyme-based sensor arrays. For example, one analytical network under construction senses the presence of an oligonucleotide, a small molecule and a protein, and makes a decision to release or not a fluorescent signal.
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会议论文
SHF: Collaborative Research: Biocompatible I/O Interfaces for Robust Bioorthogonal Molecular Computing
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批准号:1763632
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项目类别:Standard Grant
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资助金额:$10.0万
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财政年份:2018
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负责人:Milan Stojanovic
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依托单位:
SHF: Large: Collaborative Research: Molecular computing for the real world
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批准号:1518715
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项目类别:Continuing Grant
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资助金额:$40.0万
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财政年份:2015
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负责人:Milan Stojanovic
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依托单位:
CDI-Type I: Collaborative Research: Supervised Learning in Molecular Classifiers
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批准号:1026592
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项目类别:Standard Grant
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资助金额:$35.0万
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财政年份:2010
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负责人:Milan Stojanovic
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依托单位:
CDI-Type II: Computing with Biomolecules; From Network Motifs to Complex and Adaptive Systems
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批准号:1026591
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项目类别:Standard Grant
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资助金额:$55.0万
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财政年份:2010
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负责人:Milan Stojanovic
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依托单位:
Sensing in Living Cells: Expressable RNA-based FRET Probes
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批准号:1033288
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项目类别:Continuing Grant
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资助金额:$36.0万
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财政年份:2010
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负责人:Milan Stojanovic
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依托单位:
Collaborative Proposal: EMT/MISC Behavior Based Molecular Robotics
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批准号:0829744
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项目类别:Standard Grant
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资助金额:$36.0万
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财政年份:2008
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负责人:Milan Stojanovic
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依托单位:
Collaborative Research: EMT/MISC: Making Molecular Computation Practical for Biodetection Applications
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批准号:0829793
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项目类别:Standard Grant
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资助金额:$54.8万
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财政年份:2008
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负责人:Milan Stojanovic
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依托单位:
Enzymatic Networks for Pattern Recognition: Basic Principles and Applications
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批准号:0726586
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项目类别:Continuing Grant
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资助金额:$0.0万
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财政年份:2007
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负责人:Milan Stojanovic
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依托单位:
EMT: Cell Death by Boolean Calculations with Antibodies
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批准号:0621600
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项目类别:Continuing Grant
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资助金额:$30.0万
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财政年份:2006
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负责人:Milan Stojanovic
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依托单位:
BIC: EMT: Cooperative and Adaptive Behaviors By Molecular Robots
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批准号:0523317
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项目类别:Continuing Grant
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资助金额:$30.0万
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财政年份:2005
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负责人:Milan Stojanovic
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依托单位:
Collaborative Research: CBC: Center for Molecular Cybernetics
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批准号:0533096
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项目类别:Continuing Grant
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资助金额:$0.0万
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财政年份:2005
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负责人:Milan Stojanovic
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依托单位:
Biophotonics: Cross-Reactive Suspension Arrays of Sensors
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批准号:0321972
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项目类别:Standard Grant
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资助金额:$46.87万
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财政年份:2003
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负责人:Milan Stojanovic
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依托单位:
ITR: Solution Phase Computation with Enzymatic Networks
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批准号:0324845
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项目类别:Continuing Grant
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资助金额:$0.0万
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财政年份:2003
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负责人:Milan Stojanovic
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依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
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批准号:--
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项目类别:合作创新研究团队
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资助金额:--
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批准年份:2024
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负责人:姚韬
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依托单位: