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
基本信息
- 批准号:283318-2011
- 负责人:
- 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
- 起止时间:2015-01-01 至 2016-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
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.
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。
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:
$ 2.55万 - 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:
$ 2.55万 - 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:
$ 2.55万 - 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:
$ 2.55万 - 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:
$ 2.55万 - 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:
$ 2.55万 - 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:
$ 2.55万 - 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:
$ 2.55万 - 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:2016
- 资助金额:
$ 2.55万 - 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:
$ 2.55万 - 项目类别:
Collaborative Research and Development Grants
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