Algorithms and Software for Protein-Family De Novo Sequencing

蛋白质家族从头测序的算法和软件

基本信息

  • 批准号:
    7963658
  • 负责人:
  • 金额:
    $ 30.52万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2010
  • 资助国家:
    美国
  • 起止时间:
    2010-08-01 至 2012-06-30
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): The broad, long-term objective of the proposed project is to enable mass-spectrometry-based protein research. The project will develop algorithms and software for de novo peptide sequencing by tandem mass spectrometry, taking advantage of two currently unexploited information channels: protein family homology, and multiple complementary spectra of the same peptide. Homology will allow the de novo sequencing program to limit attention to peptides fitting certain motifs or constraints. With strict constraints, the program would search only the most likely mutations of known sequences, but with loose constraints the program would search as widely as current de novo sequencing programs. Complementary spectra, for example, one CID (collision-induced dissociation) and one ETD (electron-transfer dissociation) spectrum, give more complete fragmentation, and more importantly, help the program recognize which peaks correspond to which ion types, for example, helping to distinguish b-ions from y-ions. New software produced by the project will be put to immediate use in sequencing antibodies and toxins. The specific aims of the project are: homology-guided generation of candidate peptides, utilization of multiple and complementary spectra (for both candidate generation and scoring), and application and deployment of the software for sequencing polyclonal serum antibodies and complex mixtures of snail and spider toxins. These are high-value targets because the antibodies are reactive to HIV, and the toxins are valuable both as probes to study ion channels and also as pharmaceutical leads. If the project achieves its aims, exact sequencing of unknown peptides will become much easier than it is today, laboratories worldwide will take advantage of the new data acquisition and analysis strategies, and biomedical discovery will be greatly accelerated. PUBLIC HEALTH RELEVANCE: The proposed project is important to public health because it will enable exact identification of unknown, unsequenced proteins, including spider and snail toxins and polyclonal antibodies captured from human serum. Snail toxins are already the basis for FDA-approved analgesics. Captured antibodies could enable antibody treatments for HIV infection and other diseases. .
描述(由申请人提供):拟议项目的广泛,长期目标是使基于质谱的蛋白质研究成为可能。该项目将通过串联质谱法开发从头肽测序的算法和软件,利用两个目前未开发的信息渠道:蛋白质家族同源性和同一肽的多个互补谱。同源性将允许从头测序程序限制对符合某些基序或约束的肽的关注。在严格的约束条件下,程序将只搜索已知序列中最有可能的突变,但在宽松的约束条件下,程序将像当前的从头测序程序一样广泛地搜索。互补光谱,例如,一个CID(碰撞诱导解离)和一个ETD(电子转移解离)光谱,提供更完整的碎片,更重要的是,帮助程序识别哪些峰对应于哪些离子类型,例如,帮助区分b离子和y离子。该项目产生的新软件将立即用于抗体和毒素的测序。该项目的具体目标是:同源指导候选肽的生成,利用多个和互补的光谱(候选生成和评分),以及应用和部署软件对多克隆血清抗体和蜗牛和蜘蛛毒素的复杂混合物进行测序。这些都是高价值的目标,因为抗体对HIV有反应性,毒素作为研究离子通道的探针和药物先导都很有价值。如果该项目实现其目标,未知肽的精确测序将变得比现在容易得多,世界各地的实验室将利用新的数据采集和分析策略,生物医学发现将大大加快。 公共卫生相关性:拟议的项目对公共卫生很重要,因为它将能够准确鉴定未知的、未测序的蛋白质,包括蜘蛛和蜗牛毒素以及从人类血清中捕获的多克隆抗体。蜗牛毒素已经是FDA批准的止痛药的基础。捕获的抗体可以使艾滋病毒感染和其他疾病的抗体治疗。.

项目成果

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MARSHALL Wayne BERN其他文献

MARSHALL Wayne BERN的其他文献

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{{ truncateString('MARSHALL Wayne BERN', 18)}}的其他基金

New Algorithms and Software for Mass Spectrometric Analysis of Intact Proteins and Complexes
用于完整蛋白质和复合物质谱分析的新算法和软件
  • 批准号:
    10333416
  • 财政年份:
    2019
  • 资助金额:
    $ 30.52万
  • 项目类别:
New Algorithms and Software for Mass Spectrometric Analysis of Intact Proteins and Complexes
用于完整蛋白质和复合物质谱分析的新算法和软件
  • 批准号:
    10155924
  • 财政年份:
    2019
  • 资助金额:
    $ 30.52万
  • 项目类别:
Integrated Platform for Mass-Spectrometric Studies of Protein Structure
蛋白质结构质谱研究集成平台
  • 批准号:
    9909995
  • 财政年份:
    2017
  • 资助金额:
    $ 30.52万
  • 项目类别:
Integrated Platform for Mass-Spectrometric Studies of Protein Structure
蛋白质结构质谱研究集成平台
  • 批准号:
    10092176
  • 财政年份:
    2017
  • 资助金额:
    $ 30.52万
  • 项目类别:
Comprehensive Glycoproteomic Tool Development for Cancer Biomarkers
癌症生物标志物的综合糖蛋白组学工具开发
  • 批准号:
    9769771
  • 财政年份:
    2014
  • 资助金额:
    $ 30.52万
  • 项目类别:
Advancing Protein Identification for Imaging Mass Spectrometry for Pathology
推进病理学成像质谱的蛋白质鉴定
  • 批准号:
    8314708
  • 财政年份:
    2012
  • 资助金额:
    $ 30.52万
  • 项目类别:
Advancing Protein Identification for Imaging Mass Spectrometry for Pathology
推进病理学成像质谱的蛋白质鉴定
  • 批准号:
    8539636
  • 财政年份:
    2012
  • 资助金额:
    $ 30.52万
  • 项目类别:
DEVELOPMENT OF DE NOVO SEQUENCING ALGORITHMS
从头测序算法的开发
  • 批准号:
    8361561
  • 财政年份:
    2011
  • 资助金额:
    $ 30.52万
  • 项目类别:
Algorithms and Software for Protein-Family De Novo Sequencing
蛋白质家族从头测序的算法和软件
  • 批准号:
    8119094
  • 财政年份:
    2010
  • 资助金额:
    $ 30.52万
  • 项目类别:
DEVELOPMENT OF DE NOVO SEQUENCING ALGORITHMS
从头测序算法的开发
  • 批准号:
    8169190
  • 财政年份:
    2010
  • 资助金额:
    $ 30.52万
  • 项目类别:

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