Theoretical Models for Potential Energy Landscapes of Challenging Chemical Systems

具有挑战性的化学系统潜在能源景观的理论模型

• 批准号: 1566192
• 负责人: Charles Sherrill
• 金额: $ 45万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-01 至 2020-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1566192&HistoricalAwards=false
• 关键词: Theoretical; Models; Potential; Energy; Landscapes

David Sherrill of Georgia Tech University is supported by an award from the Chemical Theory, Models and Computational Methods program to develop theoretical and computational approaches to study weak, non-bonded interactions between molecules. Such interactions determine how medicines bind to their targets in the body, how molecules pack into solids, and how liquids behave. Hence, interactions between molecules are of fundamental importance for science and technology, and understanding these interactions better could aid in the design of better materials or more effective medicines. Sherrill and his research group focus on new theoretical techniques based on quantum mechanics. They implement their methods in user-friendly, open-source, widely-available and free computer software. This allows other researchers to model and analyze interactions between molecules more accurately, in more situations, and with a higher level of detail. The project is contributing to the training of postdocs, graduate students, and undergraduates in quantum chemistry methods and software development. The project is cofounded by the Computational and Data-enabled Science and Engineering Program in the Division of Advanced Cyberinfrastructure. Symmetry-adapted perturbation theory (SAPT) will be extended to compute interactions between different molecular fragments, even when those fragments are in the same molecule (this is not possible with current versions of SAPT). The intramolecular SAPT allows investigations of how linker groups in molecular torsion balances affect the interactions they have been made to study. These techniques are also being extended to molecules with unpaired electrons, allowing an investigation of how methionine-aromatic contacts contribute to protein stabilization, and how these contacts change their strength upon ionization of the methionine group. The project is also investigating various many-body expansion approximations (including density embedding) for use in high-accuracy computations of extended systems. The methods developed as part of this project are being implemented as open-source software, to be made available to the entire scientific community. The enhanced ability to model interactions between molecules should benefit researchers in chemistry, materials science, biochemistry, and drug design. At the same time, associated computational laboratory exercises are being developed that teach fundamental concepts of intermolecular interactions.

佐治亚理工大学的David Sherrill获得了化学理论、模型和计算方法项目的奖励，他开发了理论和计算方法来研究分子之间的弱非键相互作用。这种相互作用决定了药物如何与体内的目标结合，分子如何堆积成固体，以及液体的行为。因此，分子之间的相互作用对科学和技术至关重要，更好地理解这些相互作用可以帮助设计更好的材料或更有效的药物。谢里尔和他的研究小组专注于基于量子力学的新理论技术。他们在用户友好的、开源的、广泛可用的和免费的计算机软件中实现他们的方法。这使得其他研究人员能够在更多的情况下更准确地建模和分析分子之间的相互作用，并具有更高的细节水平。该项目有助于培养量子化学方法和软件开发方面的博士后、研究生和本科生。该项目由先进网络基础设施部门的计算和数据支持科学与工程项目共同发起。对称适应微扰理论（SAPT）将被扩展到计算不同分子片段之间的相互作用，即使这些片段在同一个分子中（这在SAPT的当前版本中是不可能的）。分子内SAPT允许研究分子扭转平衡中的连接基团如何影响它们所要研究的相互作用。这些技术也被扩展到具有不成对电子的分子，允许研究蛋氨酸-芳香接触如何有助于蛋白质稳定，以及这些接触如何在蛋氨酸基团电离时改变其强度。该项目还在研究用于扩展系统高精度计算的各种多体展开近似（包括密度嵌入）。作为这个项目的一部分开发的方法正在作为开源软件实施，将提供给整个科学界。分子间相互作用建模能力的增强将使化学、材料科学、生物化学和药物设计领域的研究人员受益。与此同时，相关的计算实验室练习正在开发，教授分子间相互作用的基本概念。