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Predictive computational methods and experimental studies for the discovery of carbohydrate-based catalysts and directing protecting groups

Predictive computational methods and experimental studies for the discovery of carbohydrate-based catalysts and directing protecting groups
用于发现碳水化合物基催化剂和引导保护基团的预测计算方法和实验研究
批准号:
283318-2011
负责人:
Moitessier, Nicolas
金额:
$2.55万
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:
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
翻译
分子发现通常是一个漫长、低效和昂贵的过程。我们的研究将有机化学、计算化学和药物化学相结合,以提高合成催化和药物发现的产出率,并有效地开发新的催化剂和潜在的药物。继续这一趋势,我们将利用我们的ACE项目,准确预测不对称反应的立体选择性,并提出准确的过渡态和基态的三维模型,指导新的不对称催化剂的设计和合成,并以碳水化合物为重点指导/保护基团。
英文摘要
Molecular discovery is often a long, inefficient and expensive process. Our research integrates organic, computational and medicinal chemistry in order to increase the output rates in both synthetic catalysis and drug discovery as well as to efficiently develop novel catalysts and potential drugs. Continuing this trend, we will take advantage of our program ACE, which accurately predicts the stereoselectivity of asymmetric reactions and proposes accurate three-dimensional models of transition states and ground states, to guide the design and synthesis of novel asymmetric catalysts and directing/protecting groups with a focus on carbohydrates. In a first part, further developments of ACE are proposed to produce a versatile and more user-friendly tool. In a second part, computer-aided design, synthesis and evaluation of novel asymmetric catalysts is proposed. As an experimental validation of the accuracy of ACE, proline mimetics will be the starting point for ACE-based design, synthesis and evaluation of efficient proline-like catalysts. Then, using the same strategy, carbohydrate-based catalysts will be designed, synthesized and evaluated as asymmetric catalysts for reduction and addition to carbonyls. Examples of potential stereoselective asymmetric carbohydrate-based catalysts for Luche reduction and Grignard addition are given. Our expertise in both computational chemistry and carbohydrate scaffolding will be an asset. In the past years, we have also developed a novel concept of directing/protecting groups (DPG). A DPG is a protecting group that is involved in additional interactions (i.e., hydrogen bonds) with the molecule it protects, hence increasing or decreasing the reactivity of other functional groups of the molecule. We have already shown that the use of a specifically designed DPG enables the regioselective manipulations of glucopyrannosides and can therefore be used in the preparation of carbohydrate-based catalysts, drugs and oligosaccharides. In a third part we will present the ACE-guided development of novel DPGs for not only hexoses (to date DPGs have been developed for glucopyrannosides) but also nucleotides.
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Integrating innovative computational and organic synthesis for efficient asymmetric catalyst discovery
  • 批准号:
    RGPIN-2022-03383
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.5万
  • 财政年份:
    2022
  • 负责人:
    Moitessier, Nicolas
  • 依托单位:
Integrating organic chemistry and computational chemistry for efficient molecular discovery
  • 批准号:
    RGPIN-2016-04566
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.19万
  • 财政年份:
    2021
  • 负责人:
    Moitessier, Nicolas
  • 依托单位:
Integrating organic chemistry and computational chemistry for efficient molecular discovery
  • 批准号:
    RGPIN-2016-04566
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.19万
  • 财政年份:
    2020
  • 负责人:
    Moitessier, Nicolas
  • 依托单位:
Development of Efficient Molecular Mechanics Methods for Application in Drug Discovery and Design.
  • 批准号:
    550083-2020
  • 项目类别:
    Alliance Grants
  • 资助金额:
    $4.59万
  • 财政年份:
    2020
  • 负责人:
    Moitessier, Nicolas
  • 依托单位:
国内基金
海外基金
物体运动对流场扰动的数学模型研究
  • 批准号:
    51072241
  • 项目类别:
    专项基金项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2010
  • 负责人:
    李廷秋
  • 依托单位:
Computational Methods for Analyzing Toponome Data