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Using C.elegans to learn to predict the personal severity of mutant phenotypes

Using C.elegans to learn to predict the personal severity of mutant phenotypes
使用线虫学习预测突变表型的个人严重程度
批准号:
356723
负责人:
Fraser Andrew G
金额:
$90.84万
依托单位:
依托单位国家:
加拿大
项目类别:
Operating Grants
财政年份:
2016
资助国家:
加拿大
项目状态:
已结题
起止时间:
2016-10-01 至 2021-10-01

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中文摘要
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英文摘要
Why do people have different risks of getting specific diseases? In part, the answer lies in their genes. We know hundreds of mutations that cause genetic diseases e.g. inheriting mutant forms of the CFTR gene causes cystic fibrosis. However, even in wel
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New drugs and new targets: in search of new classes of drugs that inhibit rhodoquinone-dependent metabolism, an unusual form of anaerobic metabolism that allows parasites to survive in the human gut
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    479299
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  • 资助金额:
    $73.56万
  • 财政年份:
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Combining in vivo and in silico screening to identify new classes of anthelmintics targeting rhodoquinone-dependent metabolism
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Reading metabolites with DNA barcodes - establishing barcode structure switching aptamers as a new platform for metabolomics
  • 批准号:
    461939
  • 项目类别:
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  • 资助金额:
    $47.93万
  • 财政年份:
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    390288
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    $66.88万
  • 财政年份:
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  • 负责人:
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