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CAREER: Computational Studies of Transition Metal Catalyzed Reactions in Organic Synthesis

CAREER: Computational Studies of Transition Metal Catalyzed Reactions in Organic Synthesis
职业:有机合成中过渡金属催化反应的计算研究
批准号:
1654122
负责人:
Peng Liu
金额:
$62.5万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-04-01 至 2022-03-31

项目摘要

项目成果

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中文摘要
翻译
在这个由化学系化学结构、动力学和机理B项目资助的职业项目中,匹兹堡大学化学系的刘鹏教授正在开发新的策略,利用计算工具来研究过渡金属催化的未活化原料反应中辅助配体的机理和效应,例如具有碳-碳和碳氢键的材料和未活化的烯烃。本研究的目的是揭示常见有机金属中间体在这些反应中的基本反应规律,并开发新的模型来解释配体对反应活性和选择性的影响。该项目的教育和推广计划旨在最大限度地发挥计算的力量,以促进有机化学概念的学习,并促进合成有机化学的研究。刘教授的团队开发了虚拟现实(VR)软件和教育材料,以在互动和身临其境的环境中可视化三维分子结构和反应机理视频。VR软件及其教育模块通过安卓和苹果应用商店免费向本科生和公众发布。这项新技术可能会改变向非专家介绍有机分子和反应的方式,并创造一种更有效的方法来促进对有机化学概念的理解。本项目旨在解决过渡金属催化剂计算研究中的两个基本挑战:1)许多最近开发的催化体系缺乏机理理解;2)分析和合理化计算数据的复杂性,特别是配体效应的来源。本研究探索了涉及C-H和C-C键断裂步骤后形成的活性有机金属中间体的新反应途径,并阐明了配体、导向基团、取代基、环张力以及降冰片烯和Lewis酸共催化剂的影响。为了系统地表征配体对反应活性和选择性的影响来源,建立了配体-底物相互作用模型。该模型使用能量分解分析(EDA)方法将整个空间的配体-底物相互作用分解为具有化学意义的项,包括空间斥力、极化、电荷转移和色散。从所提出的配体-底物相互作用模型中获得的见解被用于开发过渡金属催化剂的催化剂筛选方法。此外,该项目为合成化学研究人员建立了一个学习和使用计算工具来支持他们的科学研究的平台。该平台包含了一系列活动,包括课程和培训材料的开发、合作和学生交流,以及针对未被充分代表的少数族裔本科生的暑期研究项目。开发了一门基于发现的计算化学课程,为具有合成有机背景的学生提供有机化学和计算化学的交叉学科培训。由研究活动产生的直截了当的计算模型、软件工具、反应原理和在线配体数据库为合成有机化学家使用计算工具提供了便利。
英文摘要
In this CAREER project funded by the Chemical Structure, Dynamics & Mechanisms B Program of the Chemistry Division, Professor Peng Liu of the Department of Chemistry at the University of Pittsburgh is developing new strategies to use computational tools to investigate mechanisms and effects of ancillary ligands in transition-metal-catalyzed reactions of unactivated starting materials, such as materials with carbon-carbon and carbon-hydrogen bonds and unactivated olefins. The goal of this research is to reveal the fundamental reactivity rules of common organometallic intermediates in these transformations and to develop new models to interpret ligand effects on reactivity and selectivity. This project's educational and outreach plan aims to maximize the power of computations to enhance learning of organic chemistry concepts and to facilitate synthetic organic chemistry research. Professor Liu's team develops virtual reality (VR) software and educational materials to visualize three-dimensional molecular structures and reaction mechanism videos in an interactive and immersive environment. The VR software and its educational modules are released to undergraduate organic chemistry students and the general public free of charge through Android and Apple app stores. This new technology may transform the way organic molecules and reactions are presented to non-experts and create a more effective approach to advance understanding of organic chemistry concepts.This project aims to address two basic challenges in performing computational studies on transition metal catalysts: 1) the lack of mechanistic understandings in many recently developed catalytic systems, and 2) the complexities in analyzing and rationalizing computational data, in particular, the origin of ligand effects. The research investigates novel reaction pathways involving the activated organometallic intermediates formed after the C-H and C-C bond cleavage steps, and elucidates the effects of ligands, directing groups, substituents, ring strain, and norbornene and Lewis acid co-catalysts. To systematically characterize the origin of ligand effects on reactivity and selectivity, a ligand-substrate interaction model is developed. This model uses energy decomposition analysis (EDA) methods to dissect the through-space ligand-substrate interactions into chemically meaningful terms, including steric repulsion, polarization, charge transfer, and dispersion. The insights obtained from the proposed ligand-substrate interaction model are used to develop of a catalyst screening methodology for transition metal catalysts. In addition, this project establishes a platform for synthetic chemistry researchers to learn and use computational tools to support their scientific research. A spectrum of activities,including curriculum and training materials development, collaboration and student exchange, and summer research programs that target undergraduate underrepresented minority students, are incorporated in the platform. A discovery-based computational chemistry course for students with synthetic organic backgrounds is developed to provide an interdisciplinary training at the interface of organic and computational chemistry. The straightforward computational models, software tools, principles of reactivity, and the online ligand database resulting from the research activities facilitate the use of computational tools by synthetic organic chemists.
期刊论文(39)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1016/j.chempr.2021.06.007
发表时间: 2021-07-08
期刊: Chem
影响因子: 23.5
作者: [Wu TF, Zhang YJ, Fu Y, Liu FJ, Tang JT, Liu P, Toste FD, Ye B]
通讯作者: Ye B
DOI: 10.1126/science.abg5526
发表时间: 2021-04-09
期刊: SCIENCE
影响因子: 56.9
作者: [Lyu, Hairong, Kevlishvili, Ilia, Dong, Guangbin]
通讯作者: Dong, Guangbin
DOI: 10.1016/j.chempr.2020.09.004
发表时间: 2020-10-08
期刊: Chem
影响因子: 23.5
作者: [Qi X, Wang J, Dong Z, Dong G, Liu P]
通讯作者: Liu P
DOI: 10.1038/s41557-019-0343-5
发表时间: 2019-10
期刊: Nature Chemistry
影响因子: 21.8
作者: [Yang Yang-Yang;I. Cho;X. Qi;Peng Liu;F. Arnold]
通讯作者: Yang Yang-Yang;I. Cho;X. Qi;Peng Liu;F. Arnold
12
    Computational Studies of Selective C-H Functionalization Reactions
    • 批准号:
      2247505
    • 项目类别:
      Standard Grant
    • 资助金额:
      $45.0万
    • 财政年份:
      2023
    • 负责人:
      Peng Liu
    • 依托单位:
    Frontera Travel Grant: Computational Studies of Transition Metal-Catalyzed Reactions
    • 批准号:
      2031953
    • 项目类别:
      Standard Grant
    • 资助金额:
      $1.0万
    • 财政年份:
      2020
    • 负责人:
      Peng Liu
    • 依托单位:
    Collaborative Research: SaTC: CORE: Medium: Cyber-threat Detection and Diagnosis in Multistage Manufacturing Systems through Cyber and Physical Data Analytics
    SaTC: CORE: Small: Collaborative: Enabling Precise and Automated Insecurity Analysis of Middleware on Mobile Platforms
    国内基金
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    Computational Methods for Analyzing Toponome Data