Accelerated Discovery of Functional Tetramine-based Metal-Organic Cages using High-throughput Computational Screening Methods

金属有机笼（moc）是由有机连接剂和金属离子构成的多面体形状的微小人工容器。它们在腔内结合小分子（客体）的能力使它们在催化、分离、传感、药物输送和生物技术等领域具有潜在的适用性。本研究的目的是开发新的功能性moc，该moc是由毒鼠胺连接物通过子组分自组装制备的。这种moc的传统发现过程涉及试错过程，这可能导致时间和资源的浪费。这个项目旨在通过使用基于开源python库stk56的虚拟筛选方法来加速这个过程。这种方法将导致一组构建块的选择，这些构建块被建议自组装成新的moc，例如具有逐渐增大的腔尺寸或各向异性腔。这些构建模块将在实验室中制备，并将研究它们的自组装和功能。该项目旨在深入了解moc的基本设计原则，并发现具有新功能的moc。由于跨学科的特点，该项目有望促进来自各个领域的研究人员之间的合作，如超分子化学、计算机科学、计算化学和数学。

Metal-organic cages (MOCs) are tiny artificial containers in the shape of polyhedra built from organic linkers and metal-ions. Their ability to bind smaller molecules (guests) within their cavities gives them potential applicability in fields such as catalysis, separations, sensing, drug delivery and biotechnology. This work aims towards the development of new functional MOCs, prepared from tetramine linkers through subcomponent self-assembly. The conventional discovery process of such MOCs involves trial-and-error processes which can lead to a waste of time and resources. This project aims to accelerate this process by employing virtual screening methods based on the open-sourced python library stk56. This approach will lead to the selection of a set of building blocks that are suggested to self-assemble into new MOCs, for example with progressively larger cavity sizes or with anisotropic cavities. These building blocks will be prepared in the lab and their self- assembly and functionality will be investigated. This project is expected to provide insight into the fundamental design principles of MOCs and to lead to the discovery of MOCs with new functionality. Due to the interdisciplinary character, this project is expected to foster collaborations between researchers from a variety of fields such as supramolecular chemistry, computer science, computational chemistry, and mathematics.