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New methods for drug discovery by NMR spectroscopy

New methods for drug discovery by NMR spectroscopy
核磁共振波谱发现药物的新方法
批准号:
DP200100348
负责人:
Prof Thomas Huber
金额:
$36.94万
依托单位国家:
澳大利亚
项目类别:
Discovery Projects
财政年份:
2020
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2020-03-23 至 2023-03-22

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中文摘要
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英文摘要
This project aims to advance nuclear magnetic resonance (NMR) spectroscopy methods in the field of drug discovery. It addresses a long-standing bottleneck for medicinal chemists in drug development: the rapid determination of how ligand molecules bind to proteins, where they bind and their orientation in the binding site. The methods include techniques for the attachment of NMR tags to ligands and target proteins, installation of new unnatural amino acids in proteins, and software for automated assignment of NMR spectra and 3D structure modelling of proteins using sparse distance restraints measured by electron paramagnetic resonance (EPR) spectroscopy. The outcome is to benefit the early stages of drug discovery in the biotech industries.
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Non-Canonical Amino Acids for Protein Analysis and Peptide Inhibitors
  • 批准号:
    DP230100079
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $52.17万
  • 财政年份:
    2023
  • 负责人:
    Prof Thomas Huber
  • 依托单位:
Methods for Protein Structure Analysis by Electron Paramagnetic Resonance
  • 批准号:
    DP210100088
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $32.56万
  • 财政年份:
    2021
  • 负责人:
    Prof Thomas Huber
  • 依托单位:
Tags and algorithms for studies of protein structures and interactions
  • 批准号:
    DP150100383
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $33.34万
  • 财政年份:
    2015
  • 负责人:
    Prof Thomas Huber
  • 依托单位:
Three-dimensional structure determination of biomolecular assemblies from sparse data of different length scales
  • 批准号:
    DP120100561
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $43.74万
  • 财政年份:
    2012
  • 负责人:
    Prof Thomas Huber
  • 依托单位:
国内基金
海外基金
复杂图像处理中的自由非连续问题及其水平集方法研究
  • 批准号:
    60872130
  • 项目类别:
    面上项目
  • 资助金额:
    28.0万元
  • 批准年份:
    2008
  • 负责人:
    刘国才
  • 依托单位:
Computational Methods for Analyzing Toponome Data