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High-throughput Platform for Enzyme Discovery and Engineering, Metabolic Engineering and Biosensor Design for Diagnostic Applications

High-throughput Platform for Enzyme Discovery and Engineering, Metabolic Engineering and Biosensor Design for Diagnostic Applications
用于诊断应用的酶发现和工程、代谢工程和生物传感器设计的高通量平台
批准号:
RTI-2018-00787
负责人:
Mahadevan, Radhakrishnan
金额:
$10.92万
依托单位:
依托单位国家:
加拿大
项目类别:
Research Tools and Instruments
财政年份:
2017
资助国家:
加拿大
项目状态:
已结题
起止时间:
2017-01-01 至 2018-12-31

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中文摘要
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英文摘要
The overall goal of this proposal is the set-up of a high-throughput synthetic biology and bioprocess optimization platform to rapidly synthesize genes and create gene and strain libraries, and use them for applications ranging from 1) metabolic engineering, 2) enzyme discovery via metagenome screening, and 3) protein engineering. As part of this grant, we would like to establish a high-throughput robotic system to enable a workflow starting from synthesized DNA, plasmid library creation, strain construction, strain selection from colonies, enzymatic and growth assays for characterization of strains and the proteins and finally, bioprocess optimization and scale-up studies.
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Metabolic Systems Engineering
  • 批准号:
    CRC-2019-00227
  • 项目类别:
    Canada Research Chairs
  • 资助金额:
    $14.57万
  • 财政年份:
    2022
  • 负责人:
    Mahadevan, Radhakrishnan
  • 依托单位:
Genome-based Modeling and Design of Microbial Communities
  • 批准号:
    RGPIN-2017-06755
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $5.39万
  • 财政年份:
    2021
  • 负责人:
    Mahadevan, Radhakrishnan
  • 依托单位:
Metabolic Systems Engineering
  • 批准号:
    CRC-2019-00227
  • 项目类别:
    Canada Research Chairs
  • 资助金额:
    $14.57万
  • 财政年份:
    2021
  • 负责人:
    Mahadevan, Radhakrishnan
  • 依托单位:
Engineering a novel biocatalyst for the production of bio-diluents
  • 批准号:
    517554-2017
  • 项目类别:
    Collaborative Research and Development Grants
  • 资助金额:
    $10.05万
  • 财政年份:
    2020
  • 负责人:
    Mahadevan, Radhakrishnan
  • 依托单位:
国内基金
海外基金
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information