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Locating Guest Molecules inside Metal–Organic Framework Pores with a Multilevel Computational Approach
[Image: see text] Molecular docking has traditionally mostly been employed in the field of protein–ligand binding. Here, we extend this method, in combination with DFT-level geometry optimizations, to locate guest molecules inside the pores of metal–organic frameworks. The position and nature of the...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9841564/ https://www.ncbi.nlm.nih.gov/pubmed/36660093 http://dx.doi.org/10.1021/acs.jpcc.2c05561 |
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author | Ernst, Michelle Poręba, Tomasz Gnägi, Lars Gryn’ova, Ganna |
author_facet | Ernst, Michelle Poręba, Tomasz Gnägi, Lars Gryn’ova, Ganna |
author_sort | Ernst, Michelle |
collection | PubMed |
description | [Image: see text] Molecular docking has traditionally mostly been employed in the field of protein–ligand binding. Here, we extend this method, in combination with DFT-level geometry optimizations, to locate guest molecules inside the pores of metal–organic frameworks. The position and nature of the guest molecules tune the physicochemical properties of the host–guest systems. Therefore, it is essential to be able to reliably locate them to rationally enhance the performance of the known metal–organic frameworks and facilitate new material discovery. The results obtained with this approach are compared to experimental data. We show that the presented method can, in general, accurately locate adsorption sites and structures of the host–guest complexes. We therefore propose our approach as a computational alternative when no experimental structures of guest-loaded MOFs are available. Additional information on the adsorption strength in the studied host–guest systems emerges from the computed interaction energies. Our findings provide the basis for other computational studies on MOF–guest systems and contribute to a better understanding of the structure–interaction–property interplay associated with them. |
format | Online Article Text |
id | pubmed-9841564 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-98415642023-01-17 Locating Guest Molecules inside Metal–Organic Framework Pores with a Multilevel Computational Approach Ernst, Michelle Poręba, Tomasz Gnägi, Lars Gryn’ova, Ganna J Phys Chem C Nanomater Interfaces [Image: see text] Molecular docking has traditionally mostly been employed in the field of protein–ligand binding. Here, we extend this method, in combination with DFT-level geometry optimizations, to locate guest molecules inside the pores of metal–organic frameworks. The position and nature of the guest molecules tune the physicochemical properties of the host–guest systems. Therefore, it is essential to be able to reliably locate them to rationally enhance the performance of the known metal–organic frameworks and facilitate new material discovery. The results obtained with this approach are compared to experimental data. We show that the presented method can, in general, accurately locate adsorption sites and structures of the host–guest complexes. We therefore propose our approach as a computational alternative when no experimental structures of guest-loaded MOFs are available. Additional information on the adsorption strength in the studied host–guest systems emerges from the computed interaction energies. Our findings provide the basis for other computational studies on MOF–guest systems and contribute to a better understanding of the structure–interaction–property interplay associated with them. American Chemical Society 2022-12-26 /pmc/articles/PMC9841564/ /pubmed/36660093 http://dx.doi.org/10.1021/acs.jpcc.2c05561 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Ernst, Michelle Poręba, Tomasz Gnägi, Lars Gryn’ova, Ganna Locating Guest Molecules inside Metal–Organic Framework Pores with a Multilevel Computational Approach |
title | Locating Guest Molecules inside Metal–Organic
Framework Pores with a Multilevel Computational Approach |
title_full | Locating Guest Molecules inside Metal–Organic
Framework Pores with a Multilevel Computational Approach |
title_fullStr | Locating Guest Molecules inside Metal–Organic
Framework Pores with a Multilevel Computational Approach |
title_full_unstemmed | Locating Guest Molecules inside Metal–Organic
Framework Pores with a Multilevel Computational Approach |
title_short | Locating Guest Molecules inside Metal–Organic
Framework Pores with a Multilevel Computational Approach |
title_sort | locating guest molecules inside metal–organic
framework pores with a multilevel computational approach |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9841564/ https://www.ncbi.nlm.nih.gov/pubmed/36660093 http://dx.doi.org/10.1021/acs.jpcc.2c05561 |
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