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Next generation, 'Standards-Free' Metabolite Identification Pipeline

Next generation, 'Standards-Free' Metabolite Identification Pipeline
下一代“无标准”代谢物鉴定管道
批准号:
9433322
负责人:
Thomas O Metz
金额:
$19.01万
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-09-21 至 2019-08-31

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中文摘要
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英文摘要
Research Plan Abstract The capability to chemically identify thousands of metabolites and other chemicals in clinical samples will revolutionize the search for environmental, dietary, and metabolic determinants of disease. By comparison to near-comprehensive genetic information, comparatively little is understood of the totality of the human metabolome, largely due to insufficiencies in molecular identification methods. Through innovations in computational chemistry, we propose to overcome a significant, long standing obstacle in the field of metabolomics: the absence of methods for accurate and comprehensive identification of small molecules without relying on data from analysis of authentic chemical standards. A paradigm shift in metabolomics, we will use a gas-phase molecular property, collision cross section, that can be both accurately predicted computationally and consistently measured experimentally, and which can thus be used for comprehensive identification of the metabolome without the need for authentic chemical standards. The outcomes of this proposal directly advance the mission and goals of the NIH Common Fund by: (i) transforming metabolomics science by enabling consideration of the totality of the human metabolome through optimized identification of currently unidentifiable molecules, eventually reaching hundreds of thousands of molecules, and (ii) developing standardized computational tools to increase the national capacity for biomedical researchers to identify metabolites quickly and accurately. This work is significant because it enables comprehensive and confident chemical measurement of the metabolome. This work is innovative because it utilizes a high throughput, high accuracy, quantum-chemistry-based computational and chemical informatics platform to predict physical-chemical properties of metabolites from first principles.
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The Integrated Stress Response in Human Islets During Early T1D
  • 批准号:
    10592566
  • 项目类别:
  • 资助金额:
    $40.13万
  • 财政年份:
    2020
  • 负责人:
    Thomas O Metz
  • 依托单位:
Pacific Northwest Advanced Compound Identification Core
Administrative Core
Pacific Northwest Advanced Compound Identification Core
国内基金
海外基金
Iboga alkaloids骨架导向的不对称串联反应构建吖庚环并[4,5-b]吲哚及其在全合成中的应用
  • 批准号:
    21801032
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    26.0万元
  • 批准年份:
    2018
  • 负责人:
    陈惠渝
  • 依托单位: