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Data-driven analysis of protein structure, function, and regulation

Data-driven analysis of protein structure, function, and regulation
蛋白质结构、功能和调控的数据驱动分析
批准号:
9318542
负责人:
Philip Anthony Romero
金额:
$38.25万
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-08-01 至 2021-07-31

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英文摘要
PROJECT SUMMARY Proteins are capable of performing a wide variety of complex molecular functions and play a central role in all biological processes. A detailed and quantitative understanding of the relationship between a protein's sequence and it's biochemical properties would have a profound impact across all areas of biology, medicine, and biotechnology. We are developing data-driven approaches for dissecting the molecular basis of protein function. Our general framework involves designing informative libraries of protein sequences, experimentally mapping the relationship between sequence and function, and extracting detailed functional information from large sequence-function data sets. This work leverages emerging technologies and methods in DNA sequencing and synthesis, microfluidic screening, large-scale statistical learning, and optimization. We will develop generalizable platforms that can be applied to study a wide variety of enzymes and membrane transport proteins.
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Self-driving laboratories for autonomous exploration of protein sequence space
  • 批准号:
    10717598
  • 项目类别:
  • 资助金额:
    $34.92万
  • 财政年份:
    2023
  • 负责人:
    Philip Anthony Romero
  • 依托单位:
Data-driven analysis of protein structure, function, and regulation
  • 批准号:
    9532591
  • 项目类别:
  • 资助金额:
    $38.25万
  • 财政年份:
    2016
  • 负责人:
    Philip Anthony Romero
  • 依托单位:
Data-driven analysis of protein structure, function, and regulation
  • 批准号:
    9979906
  • 项目类别:
  • 资助金额:
    $38.25万
  • 财政年份:
    2016
  • 负责人:
    Philip Anthony Romero
  • 依托单位:
Data-driven analysis of protein structure, function, and regulation
  • 批准号:
    9143006
  • 项目类别:
  • 资助金额:
    $35.93万
  • 财政年份:
    2016
  • 负责人:
    Philip Anthony Romero
  • 依托单位:
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