Integrating organic chemistry and computational chemistry for efficient molecular discovery

整合有机化学和计算化学以实现高效的分子发现

基本信息

  • 批准号:
    RGPIN-2016-04566
  • 负责人:
  • 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 - Individual
  • 财政年份:
    2016
  • 资助国家:
    加拿大
  • 起止时间:
    2016-01-01 至 2017-12-31
  • 项目状态:
    已结题

项目摘要

Background Several organic chemistry-oriented research programs require long, iterative, inefficient and cost-ineffective discovery and development processes. Over 2 decades ago, NMR spectroscopy and other techniques were integrated into the organic chemist's toolbox to significantly improve this process. In contrast, only a handful of organic chemistry groups in Canada truly integrate computational chemistry to get more insights into their organic molecules or synthetic methodologies while some routine experiments could be carried out directly by experimentalists with major benefits. Our research programs focuses on the integration of synthetic organic, computational and medicinal chemistry in order to increase the success rates in synthetic catalysis, biocatalysis and drug discovery. To do so, we develop and apply computational user-friendly and accurate predictive tools such as our software packages VIRTUAL CHEMIST for asymmetric catalyst design and FORECASTER for drug design. Continuing this trend, we will further develop tools for organic chemists and demonstrate that their integration in the organic chemistry lab is not only possible but also valuable. Research program and objectives 1. I propose to enhance the computer-aided design, synthesis and evaluation of novel asymmetric catalysts. We have developed synthetic strategies to prepare proline-like mono- and bicyclic scaffolds, which will now be used as a starting point for VIRTUAL CHEMIST-based virtual screening and design of organocatalysts. Through this process, a selection of catalysts will be synthesized and experimentally evaluated. 2. ACE accurately predicts the stereoselectivity of asymmetric reactions and more specifically organocatalysed reactions. Further major developments including the development of a force field for metals to study metal catalysis and validations are proposed. Among the challenges are the various coordination geometries that a metal can adopt (e.g., copper can be square planar, tetrahedral or in between). Previously, ACE was validated on literature data, throughout this research program the validations will now be experimental. 3. In the past years, we have developed novel concepts of directing/protecting groups (DPGs) and transient DPGs (TDPGs) which enable the regioselective functionalization of glucose derivatives with no need for protecting groups. Labile covalent bonds and non-bonded interactions modulate the reactivity of other functional groups of the molecule enabling regioselective transformations. We will expand the concept of TDPGs to nucleotides and polyols through computer-aided design and synthesis of novel TDPGs, their experimental validation of the predicted additional non-bonded interactions between the TDPGs and the polar groups of the molecule and their application to regioselective manipulation of polyol including carbohydrates.
背景

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Moitessier, Nicolas其他文献

Constrained Peptidomimetics Reveal Detailed Geometric Requirements of Covalent Prolyl Oligopeptidase Inhibitors
  • DOI:
    10.1021/jm901013a
  • 发表时间:
    2009-11-12
  • 期刊:
  • 影响因子:
    7.3
  • 作者:
    Lawandi, Janice;Toumieux, Sylvestre;Moitessier, Nicolas
  • 通讯作者:
    Moitessier, Nicolas
Development of a Computational Tool to Rival Experts in the Prediction of Sites of Metabolism of Xenobiotics by P450s
  • DOI:
    10.1021/ci3003073
  • 发表时间:
    2012-09-01
  • 期刊:
  • 影响因子:
    5.6
  • 作者:
    Campagna-Slater, Valerie;Pottel, Joshua;Moitessier, Nicolas
  • 通讯作者:
    Moitessier, Nicolas
A naturally occurring G11S mutation in the 3C-like protease from the SARS-CoV-2 virus dramatically weakens the dimer interface.
  • DOI:
    10.1002/pro.4857
  • 发表时间:
    2024-01
  • 期刊:
  • 影响因子:
    8
  • 作者:
    Wang, Guanyu;Venegas, Felipe A.;Rueda, Andres M.;Weerasinghe, Nuwani W.;Uggowitzer, Kevin A.;Thibodeaux, Christopher J.;Moitessier, Nicolas;Mittermaier, Anthony K.
  • 通讯作者:
    Mittermaier, Anthony K.
3-Oxo-hexahydro-1H-isoindole-4-carboxylic Acid as a Drug Chiral Bicyclic Scaffold: Structure-Based Design and Preparation of Conformationally Constrained Covalent and Noncovalent Prolyl Oligopeptidase Inhibitors
  • DOI:
    10.1021/acs.jmedchem.5b01296
  • 发表时间:
    2016-05-12
  • 期刊:
  • 影响因子:
    7.3
  • 作者:
    Mariaule, Gaelle;De Cesco, Stephane;Moitessier, Nicolas
  • 通讯作者:
    Moitessier, Nicolas
Directing/protecting groups mediate highly regioselective glycosylation of monoprotected acceptors
  • DOI:
    10.1016/j.tet.2011.07.026
  • 发表时间:
    2011-10-28
  • 期刊:
  • 影响因子:
    2.1
  • 作者:
    Lawandi, Janice;Rocheleau, Sylvain;Moitessier, Nicolas
  • 通讯作者:
    Moitessier, Nicolas

Moitessier, Nicolas的其他文献

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{{ truncateString('Moitessier, Nicolas', 18)}}的其他基金

Integrating innovative computational and organic synthesis for efficient asymmetric catalyst discovery
整合创新计算和有机合成以实现高效的不对称催化剂发现
  • 批准号:
    RGPIN-2022-03383
  • 财政年份:
    2022
  • 资助金额:
    $ 2.19万
  • 项目类别:
    Discovery Grants Program - Individual
Integrating organic chemistry and computational chemistry for efficient molecular discovery
整合有机化学和计算化学以实现高效的分子发现
  • 批准号:
    RGPIN-2016-04566
  • 财政年份:
    2021
  • 资助金额:
    $ 2.19万
  • 项目类别:
    Discovery Grants Program - Individual
Integrating organic chemistry and computational chemistry for efficient molecular discovery
整合有机化学和计算化学以实现高效的分子发现
  • 批准号:
    RGPIN-2016-04566
  • 财政年份:
    2020
  • 资助金额:
    $ 2.19万
  • 项目类别:
    Discovery Grants Program - Individual
Development of Efficient Molecular Mechanics Methods for Application in Drug Discovery and Design.
开发用于药物发现和设计的有效分子力学方法。
  • 批准号:
    550083-2020
  • 财政年份:
    2020
  • 资助金额:
    $ 2.19万
  • 项目类别:
    Alliance Grants
Integrating organic chemistry and computational chemistry for efficient molecular discovery
整合有机化学和计算化学以实现高效的分子发现
  • 批准号:
    RGPIN-2016-04566
  • 财政年份:
    2019
  • 资助金额:
    $ 2.19万
  • 项目类别:
    Discovery Grants Program - Individual
Integrating organic chemistry and computational chemistry for efficient molecular discovery
整合有机化学和计算化学以实现高效的分子发现
  • 批准号:
    RGPIN-2016-04566
  • 财政年份:
    2018
  • 资助金额:
    $ 2.19万
  • 项目类别:
    Discovery Grants Program - Individual
Toward the accurate prediction of adverse drug reactions and drug-drug interactions using novel MM methods and QM-derived rules
使用新型 MM 方法和 QM 衍生规则准确预测药物不良反应和药物相互作用
  • 批准号:
    505509-2016
  • 财政年份:
    2017
  • 资助金额:
    $ 2.19万
  • 项目类别:
    Collaborative Research and Development Grants
Integrating organic chemistry and computational chemistry for efficient molecular discovery
整合有机化学和计算化学以实现高效的分子发现
  • 批准号:
    RGPIN-2016-04566
  • 财政年份:
    2017
  • 资助金额:
    $ 2.19万
  • 项目类别:
    Discovery Grants Program - Individual
Toward the accurate prediction of P450-mediated metabolism and adverse drug reactions using novel MM methods and QM-derived rules.
使用新的 MM 方法和 QM 衍生规则准确预测 P450 介导的代谢和药物不良反应。
  • 批准号:
    469677-2014
  • 财政年份:
    2015
  • 资助金额:
    $ 2.19万
  • 项目类别:
    Collaborative Research and Development Grants
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
  • 财政年份:
    2015
  • 资助金额:
    $ 2.19万
  • 项目类别:
    Discovery Grants Program - Individual

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相似海外基金

Integrating organic chemistry and computational chemistry for efficient molecular discovery
整合有机化学和计算化学以实现高效的分子发现
  • 批准号:
    RGPIN-2016-04566
  • 财政年份:
    2021
  • 资助金额:
    $ 2.19万
  • 项目类别:
    Discovery Grants Program - Individual
Integrating organic chemistry and computational chemistry for efficient molecular discovery
整合有机化学和计算化学以实现高效的分子发现
  • 批准号:
    RGPIN-2016-04566
  • 财政年份:
    2020
  • 资助金额:
    $ 2.19万
  • 项目类别:
    Discovery Grants Program - Individual
Integrating organic chemistry and computational chemistry for efficient molecular discovery
整合有机化学和计算化学以实现高效的分子发现
  • 批准号:
    RGPIN-2016-04566
  • 财政年份:
    2019
  • 资助金额:
    $ 2.19万
  • 项目类别:
    Discovery Grants Program - Individual
Integrating organic chemistry and computational chemistry for efficient molecular discovery
整合有机化学和计算化学以实现高效的分子发现
  • 批准号:
    RGPIN-2016-04566
  • 财政年份:
    2018
  • 资助金额:
    $ 2.19万
  • 项目类别:
    Discovery Grants Program - Individual
Integrating organic chemistry and computational chemistry for efficient molecular discovery
整合有机化学和计算化学以实现高效的分子发现
  • 批准号:
    RGPIN-2016-04566
  • 财政年份:
    2017
  • 资助金额:
    $ 2.19万
  • 项目类别:
    Discovery Grants Program - Individual
Integrating Chemistry and Evolution to Illuminate Biology and Enable Novel Therapeutics
整合化学和进化来阐明生物学并实现新疗法
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    9070238
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    2016
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Integrating Chemistry and Evolution to Illuminate Biology and Enable Novel Therapeutics
整合化学和进化来阐明生物学并实现新疗法
  • 批准号:
    9258439
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Integrating Chemistry and Evolution to Illuminate Biology and Enable Novel Therapeutics
整合化学和进化来阐明生物学并实现新疗法
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    10162933
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Integrating Chemistry and Evolution to Illuminate Biology and Enable Novel Therapeutics
整合化学和进化来阐明生物学并实现新疗法
  • 批准号:
    10395607
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Integrating Chemistry and Evolution to Illuminate Biology and Enable Novel Therapeutics
整合化学和进化来阐明生物学并实现新疗法
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