Further development of our Drug Discovery Platform FORECASTER and its application to the design, synthesis and biological evaluation of prolyl oligopeptidase Inhibitors
我们的药物发现平台 FORECASTER 的进一步开发及其在脯氨酰寡肽酶抑制剂的设计、合成和生物学评价中的应用
基本信息
- 批准号:387267-2009
- 负责人:
- 金额:$ 5.47万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Collaborative Research and Development Grants
- 财政年份:2009
- 资助国家:加拿大
- 起止时间:2009-01-01 至 2010-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Prolyl Oligopeptidase (POP) inhibition is a highly promising strategy for the treatment of Alzheimer's disease and POP inhibitors as drug candidates are to be developed. Moitessier and co-workers have recently reported a potent, permeant and highly selective POP inhibitor. However, its stability and pharmacokinetic profile need to be improved. A large number of drug discovery and development projects fail at the late development stages due to poor pharmacokinetic profiles. Integrating the evaluation of absorption, distribution, metabolism, excretion and toxicity (ADME-Tox) of potential candidate drugs early in the drug discovery process is expected to significantly reduce this failure rate. IIi this context, predicting the ADME-Tox profile using computational methods has been seen as a high-throughput and inexpensive option that could complement low to medium throughput in vitro or in vivo assays. Moitessier and co-workers have developed a sophisticated platform of programs (FORECASTER) which performs virtual screening, docking and more (www.fitted.ca). In this research, we plan to combine our complementary expertise in organic synthesis, medicinal chemistry, metabolism and software development to 1. develop accurate in silico methods that predict the cytochrome P450-mediated metabolism and P450 inhibition and implement them in our platform FORECASTER; 2. apply this suite of programs to the development of improved POP inhibitors.
脯氨酰寡肽酶(POP)抑制是治疗阿尔茨海默病的一种非常有前途的策略,POP抑制剂作为候选药物有待开发。Moitessier及其同事最近报道了一种有效的、渗透性的和高度选择性的POP抑制剂。然而,其稳定性和药代动力学特征需要改进。大量的药物发现和开发项目在后期开发阶段由于不良的药代动力学特征而失败。在药物发现过程的早期整合对潜在候选药物的吸收、分布、代谢、排泄和毒性(ADME-Tox)的评估,预计将显著降低这种失败率。在这种情况下,使用计算方法预测ADME-Tox谱已被视为高通量和廉价的选择,其可以补充低至中等通量的体外或体内测定。Moitessier和同事们开发了一个复杂的程序平台(FORECASTER),可以执行虚拟筛选,对接等(www.fitted.ca)。在这项研究中,我们计划联合收割机我们互补的专业知识,在有机合成,药物化学,代谢和软件开发,以1。开发准确的预测细胞色素P450介导的代谢和P450抑制的计算机方法,并在我们的平台FORECASTER中实现它们; 2.将这套程序应用于开发改进的POP抑制剂。
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:
$ 5.47万 - 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
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RGPIN-2016-04566 - 财政年份:2021
- 资助金额:
$ 5.47万 - 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:
$ 5.47万 - 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:
$ 5.47万 - 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:
$ 5.47万 - 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:
$ 5.47万 - 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:
$ 5.47万 - 项目类别:
Collaborative Research and Development Grants
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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:
$ 5.47万 - 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:
$ 5.47万 - 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:
$ 5.47万 - 项目类别:
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