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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:
2014
资助国家:
加拿大
项目状态:
已结题
起止时间:
2014-01-01 至 2015-12-31

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中文摘要
翻译
计算机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,以确定新的潜在可获得的(表面暴露的)药物靶点、诊断标记和候选疫苗。这种分析还有助于识别微生物环境检测的标记,从耐热/耐冷的古生代鉴定具有工业意义的蛋白质的稳定性,一般的基因组注释,以及蛋白质组实验的设计。此前,我领导了PSORTb的开发,它是目前细菌和古菌蛋白亚细胞定位(包括细胞表面蛋白定位)最准确的预测指标。
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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