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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...

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Detalles Bibliográficos
Autores principales: Arkhipova, Valentina, Guskov, Albert, Slotboom, Dirk-Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Rockefeller University Press 2017
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.
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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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