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Atomistic Computational Models To Evaluate Protein-Ligand Off-Target Interactions

Atomistic Computational Models To Evaluate Protein-Ligand Off-Target Interactions
评估蛋白质-配体脱靶相互作用的原子计算模型
批准号:
RGPGP-2015-00055
负责人:
Barakat, Khaled
金额:
$2.19万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Group
财政年份:
2015
资助国家:
加拿大
项目状态:
已结题
起止时间:
2015-01-01 至 2016-12-31

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中文摘要
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英文摘要
To be biologically active, small molecules, proteins and other cellular components must physically fit into their binding site(s) within their targets. A century ago, Fischer described this event as a lock-and-key fit. However, in reaching its precise binding location, a ligand (a molecule that binds to another) interacts with a variety of cellular components of various structures and functions. All these events increase the probability for a ligand, particularly a small molecule of exogenous cellular origin (e.g. synthetic drugs) to bind to an undesired off-target(s), altering their cellular functions. Computer simulations are currently well suited to address these problems as recognized with the 2013 Nobel Prize in Chemistry. The long-term goal of our research is to evaluate the interaction of small molecules with critical cellular off-targets.
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Multiscale Computer Modeling to Evaluate Protein-Ligand Off-Target Interactions
  • 批准号:
    RGPIN-2020-04437
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.06万
  • 财政年份:
    2022
  • 负责人:
    Barakat, Khaled
  • 依托单位:
Multiscale Computer Modeling to Evaluate Protein-Ligand Off-Target Interactions
  • 批准号:
    RGPIN-2020-04437
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.06万
  • 财政年份:
    2021
  • 负责人:
    Barakat, Khaled
  • 依托单位:
Multiscale Computer Modeling to Evaluate Protein-Ligand Off-Target Interactions
  • 批准号:
    RGPIN-2020-04437
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.06万
  • 财政年份:
    2020
  • 负责人:
    Barakat, Khaled
  • 依托单位:
Atomistic Computational Models To Evaluate Protein-Ligand Off-Target Interactions
  • 批准号:
    RGPGP-2015-00055
  • 项目类别:
    Discovery Grants Program - Group
  • 资助金额:
    $2.19万
  • 财政年份:
    2019
  • 负责人:
    Barakat, Khaled
  • 依托单位:
国内基金
海外基金
Computational Methods for Analyzing Toponome Data