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Analysis of the quality of crystallographic data and the limitations of structural models
Crystal structures provide visual models of biological macromolecules, which are widely used to interpret data from functional studies and generate new mechanistic hypotheses. Because the quality of the collected x-ray diffraction data directly affects the reliability of the structural model, it is...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Rockefeller University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5715909/ https://www.ncbi.nlm.nih.gov/pubmed/29089418 http://dx.doi.org/10.1085/jgp.201711852 |
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author | Arkhipova, Valentina Guskov, Albert Slotboom, Dirk-Jan |
author_facet | Arkhipova, Valentina Guskov, Albert Slotboom, Dirk-Jan |
author_sort | Arkhipova, Valentina |
collection | PubMed |
description | Crystal structures provide visual models of biological macromolecules, which are widely used to interpret data from functional studies and generate new mechanistic hypotheses. Because the quality of the collected x-ray diffraction data directly affects the reliability of the structural model, it is essential that the limitations of the models are carefully taken into account when making interpretations. Here we use the available crystal structures of members of the glutamate transporter family to illustrate the importance of inspecting the data that underlie the structural models. Crystal structures of glutamate transporters in multiple different conformations have been solved, but most structures were determined at relatively low resolution, with deposited models based on crystallographic data of moderate quality. We use these examples to demonstrate the extent to which mechanistic interpretations can be made safely. |
format | Online Article Text |
id | pubmed-5715909 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | The Rockefeller University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-57159092018-06-04 Analysis of the quality of crystallographic data and the limitations of structural models Arkhipova, Valentina Guskov, Albert Slotboom, Dirk-Jan J Gen Physiol Reviews Crystal structures provide visual models of biological macromolecules, which are widely used to interpret data from functional studies and generate new mechanistic hypotheses. Because the quality of the collected x-ray diffraction data directly affects the reliability of the structural model, it is essential that the limitations of the models are carefully taken into account when making interpretations. Here we use the available crystal structures of members of the glutamate transporter family to illustrate the importance of inspecting the data that underlie the structural models. Crystal structures of glutamate transporters in multiple different conformations have been solved, but most structures were determined at relatively low resolution, with deposited models based on crystallographic data of moderate quality. We use these examples to demonstrate the extent to which mechanistic interpretations can be made safely. The Rockefeller University Press 2017-12-04 /pmc/articles/PMC5715909/ /pubmed/29089418 http://dx.doi.org/10.1085/jgp.201711852 Text en © 2017 Arkhipova et al. http://www.rupress.org/terms/https://creativecommons.org/licenses/by-nc-sa/4.0/This article is distributed under the terms of an Attribution–Noncommercial–Share Alike–No Mirror Sites license for the first six months after the publication date (see http://www.rupress.org/terms/). After six months it is available under a Creative Commons License (Attribution–Noncommercial–Share Alike 4.0 International license, as described at https://creativecommons.org/licenses/by-nc-sa/4.0/). |
spellingShingle | Reviews Arkhipova, Valentina Guskov, Albert Slotboom, Dirk-Jan Analysis of the quality of crystallographic data and the limitations of structural models |
title | Analysis of the quality of crystallographic data and the limitations of structural models |
title_full | Analysis of the quality of crystallographic data and the limitations of structural models |
title_fullStr | Analysis of the quality of crystallographic data and the limitations of structural models |
title_full_unstemmed | Analysis of the quality of crystallographic data and the limitations of structural models |
title_short | Analysis of the quality of crystallographic data and the limitations of structural models |
title_sort | analysis of the quality of crystallographic data and the limitations of structural models |
topic | Reviews |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5715909/ https://www.ncbi.nlm.nih.gov/pubmed/29089418 http://dx.doi.org/10.1085/jgp.201711852 |
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