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Pathological crystal structures
Recent decades have seen enormous changes in the technology of crystal structure analysis, but the interpretation of these data still depends on human judgment, and errors are far from uncommon. Although analysing the crystallographic results with available software tools can catch many types of er...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Union of Crystallography
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10625717/ https://www.ncbi.nlm.nih.gov/pubmed/37610288 http://dx.doi.org/10.1107/S2053229623007088 |
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author | Raymond, Kenneth N. Girolami, Gregory S. |
author_facet | Raymond, Kenneth N. Girolami, Gregory S. |
author_sort | Raymond, Kenneth N. |
collection | PubMed |
description | Recent decades have seen enormous changes in the technology of crystal structure analysis, but the interpretation of these data still depends on human judgment, and errors are far from uncommon. Although analysing the crystallographic results with available software tools can catch many types of errors, others can be detected only by combining knowledge of both crystallography and chemistry. We discuss several such examples from the published literature, and for each of them we identify what lessons they teach us. The examples are categorized by the type of error: correct crystallography but incorrect chemistry, mis-assignment of atoms, high-symmetry superstructures with included guest molecules, incorrect choice of space group, incorrect choice of unit-cell size, and unresolved problems. These examples are intended to counteract the aura of infallibility that crystal structures sometimes assume and to alert the reader to features to look for in detecting pathological structures. |
format | Online Article Text |
id | pubmed-10625717 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | International Union of Crystallography |
record_format | MEDLINE/PubMed |
spelling | pubmed-106257172023-11-06 Pathological crystal structures Raymond, Kenneth N. Girolami, Gregory S. Acta Crystallogr C Struct Chem Topical Reviews Recent decades have seen enormous changes in the technology of crystal structure analysis, but the interpretation of these data still depends on human judgment, and errors are far from uncommon. Although analysing the crystallographic results with available software tools can catch many types of errors, others can be detected only by combining knowledge of both crystallography and chemistry. We discuss several such examples from the published literature, and for each of them we identify what lessons they teach us. The examples are categorized by the type of error: correct crystallography but incorrect chemistry, mis-assignment of atoms, high-symmetry superstructures with included guest molecules, incorrect choice of space group, incorrect choice of unit-cell size, and unresolved problems. These examples are intended to counteract the aura of infallibility that crystal structures sometimes assume and to alert the reader to features to look for in detecting pathological structures. International Union of Crystallography 2023-10-24 /pmc/articles/PMC10625717/ /pubmed/37610288 http://dx.doi.org/10.1107/S2053229623007088 Text en © Raymond and Girolami 2023 https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited. |
spellingShingle | Topical Reviews Raymond, Kenneth N. Girolami, Gregory S. Pathological crystal structures |
title | Pathological crystal structures |
title_full | Pathological crystal structures |
title_fullStr | Pathological crystal structures |
title_full_unstemmed | Pathological crystal structures |
title_short | Pathological crystal structures |
title_sort | pathological crystal structures |
topic | Topical Reviews |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10625717/ https://www.ncbi.nlm.nih.gov/pubmed/37610288 http://dx.doi.org/10.1107/S2053229623007088 |
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