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用于构建假设金属有机框架的化学逼真结构单元的愈合SBU库。

The HEALED SBU Library of Chemically Realistic Building Blocks for Construction of Hypothetical Metal-Organic Frameworks.

作者信息

Gibaldi Marco, Kwon Ohmin, White Andrew, Burner Jake, Woo Tom K

机构信息

Department of Chemistry and Biomolecular Science, University of Ottawa, 10 Marie Curie Private, Ottawa K1N 6N5, Canada.

出版信息

ACS Appl Mater Interfaces. 2022 Sep 28;14(38):43372-43386. doi: 10.1021/acsami.2c13100. Epub 2022 Sep 19.

Abstract

Advancements in hypothetical metal-organic framework (hMOF) databases and construction tools have resulted in a rapidly expanding chemical design space for nanoporous materials. The bulk of these hypothetical structures are constructed using structural building units (SBUs) derived from experimental MOF structures, often collected from the CoRE-MOF database. Recent investigations into the state of these deposited experimental structures' chemical accuracy identified an array of common structural errors, including omitted protons, missing counterions, and disordered structures. These structural errors propagate into the SBUs mined from experimental MOFs, culminating in inaccurate hMOF structures possessing net charges or missing atoms which were not accounted for previously. This work demonstrates how manual investigation was applied to diagnose structural errors in SBUs obtained from several popular hMOF construction tools and databases. An analysis of the prevailing errors discovered during the examination process is provided along with representative cases to aid with error detection in future studies involving SBU extraction and hMOF construction. A novel repair protocol was established and employed to generate a library of SBUs that are and-xamined nd abeled with nhanced etail (HEALED). This repaired library of SBUs contains 952 inorganic SBUs and 568 organic SBUs ideally suited for the generation of hypothetical frameworks that are chemically accurate and properly charge labeled. Additionally, case studies following the effects of SBU errors on electrostatic potential-fitted charges and GCMC-simulated gas adsorption predictions are presented to highlight the significance of using chemically accurate hMOF structures exclusively in all screening efforts going forward.

摘要

假设性金属有机框架(hMOF)数据库和构建工具的进步,为纳米多孔材料带来了迅速扩展的化学设计空间。这些假设结构大多是使用从实验性MOF结构衍生而来的结构构筑单元(SBU)构建的,这些实验性MOF结构通常取自CoRE-MOF数据库。最近对这些已沉积实验结构的化学准确性状况的调查发现了一系列常见的结构错误,包括遗漏的质子、缺失的抗衡离子和无序结构。这些结构错误会传播到从实验性MOF中提取的SBU中,最终导致hMOF结构不准确,出现净电荷或缺少先前未考虑的原子。这项工作展示了如何通过人工研究来诊断从几种流行的hMOF构建工具和数据库中获得的SBU中的结构错误。提供了在检查过程中发现的主要错误的分析以及代表性案例,以帮助在未来涉及SBU提取和hMOF构建的研究中进行错误检测。建立并采用了一种新颖的修复方案,以生成一个经过检查并带有增强细节标记(HEALED)的SBU库。这个经过修复的SBU库包含952个无机SBU和568个有机SBU,非常适合用于生成化学准确且电荷标记正确 的假设框架。此外还展示了案例研究,跟踪SBU错误对静电势拟合电荷和GCMC模拟气体吸附预测的影响,以突出在未来所有筛选工作中仅使用化学准确的hMOF结构的重要性。

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