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Computationally predicting prokaryotic protein subcellular localization, using experimentally-based criteria

Computationally predicting prokaryotic protein subcellular localization, using experimentally-based criteria
使用基于实验的标准计算预测原核蛋白质亚细胞定位
批准号:
240644-2011
负责人:
Brinkman, Fiona
金额:
$4.42万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2012
资助国家:
加拿大
项目状态:
已结题
起止时间:
2012-01-01 至 2013-12-31

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中文摘要
翻译
计算预测位于细菌细胞表面的蛋白质在医学和农业中具有广泛的意义,以识别新的潜在可接近(表面暴露)的药物靶标,诊断标记物和候选疫苗。此类分析还有助于识别用于微生物环境检测的标记、表征具有工业价值的蛋白质在耐热/耐寒古细菌中的稳定性、一般基因组注释以及蛋白质组学实验的设计。此前,我领导了PSORTb的开发,这是目前细菌和古细菌蛋白质亚细胞定位(包括细胞表面蛋白定位)的最精确预测因子。
英文摘要
Computationally predicting proteins located on the surface of bacterial cells is of wide interest in both medicine and agriculture, to identify new potentially accessible (surface-exposed) drug targets, diagnostic markers, and vaccine candidates. Such analysis also aids identification of markers for environmental detection of microbes, characterization of proteins of industrial interest for their stability from thermo/cold tolerant Archaea, general genome annotation, and design of proteomic experiments. Previously, I led the development of PSORTb, which is currently the most precise predictor of bacterial and archaeal protein subcellular localization, including cell surface protein localization.
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Computationally predicting bacterial and archaeal protein subcellular localization, using experimentally-based criteria
  • 批准号:
    RGPIN-2016-05748
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.93万
  • 财政年份:
    2021
  • 负责人:
    Brinkman, Fiona
  • 依托单位:
Computationally predicting bacterial and archaeal protein subcellular localization, using experimentally-based criteria
  • 批准号:
    RGPIN-2016-05748
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.93万
  • 财政年份:
    2020
  • 负责人:
    Brinkman, Fiona
  • 依托单位:
Computationally predicting bacterial and archaeal protein subcellular localization, using experimentally-based criteria
  • 批准号:
    RGPIN-2016-05748
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.93万
  • 财政年份:
    2019
  • 负责人:
    Brinkman, Fiona
  • 依托单位:
Computationally predicting bacterial and archaeal protein subcellular localization, using experimentally-based criteria
  • 批准号:
    RGPIN-2016-05748
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.93万
  • 财政年份:
    2018
  • 负责人:
    Brinkman, Fiona
  • 依托单位:
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