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Crystallographic model quality at a glance
A crystallographic macromolecular model is typically characterized by a list of quality criteria, such as R factors, deviations from ideal stereochemistry and average B factors, which are usually provided as tables in publications or in structural databases. In order to facilitate a quick model-qual...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
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International Union of Crystallography
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2651759/ https://www.ncbi.nlm.nih.gov/pubmed/19237753 http://dx.doi.org/10.1107/S0907444908044296 |
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author | Urzhumtseva, Ludmila Afonine, Pavel V. Adams, Paul D. Urzhumtsev, Alexandre |
author_facet | Urzhumtseva, Ludmila Afonine, Pavel V. Adams, Paul D. Urzhumtsev, Alexandre |
author_sort | Urzhumtseva, Ludmila |
collection | PubMed |
description | A crystallographic macromolecular model is typically characterized by a list of quality criteria, such as R factors, deviations from ideal stereochemistry and average B factors, which are usually provided as tables in publications or in structural databases. In order to facilitate a quick model-quality evaluation, a graphical representation is proposed. Each key parameter such as R factor or bond-length deviation from ‘ideal values’ is shown graphically as a point on a ‘ruler’. These rulers are plotted as a set of lines with the same origin, forming a hub and spokes. Different parts of the rulers are coloured differently to reflect the frequency (red for a low frequency, blue for a high frequency) with which the corresponding values are observed in a reference set of structures determined previously. The points for a given model marked on these lines are connected to form a polygon. A polygon that is strongly compressed or dilated along some axes reveals unusually low or high values of the corresponding characteristics. Polygon vertices in ‘red zones’ indicate parameters which lie outside typical values. |
format | Text |
id | pubmed-2651759 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | International Union of Crystallography |
record_format | MEDLINE/PubMed |
spelling | pubmed-26517592010-01-19 Crystallographic model quality at a glance Urzhumtseva, Ludmila Afonine, Pavel V. Adams, Paul D. Urzhumtsev, Alexandre Acta Crystallogr D Biol Crystallogr Short Communications A crystallographic macromolecular model is typically characterized by a list of quality criteria, such as R factors, deviations from ideal stereochemistry and average B factors, which are usually provided as tables in publications or in structural databases. In order to facilitate a quick model-quality evaluation, a graphical representation is proposed. Each key parameter such as R factor or bond-length deviation from ‘ideal values’ is shown graphically as a point on a ‘ruler’. These rulers are plotted as a set of lines with the same origin, forming a hub and spokes. Different parts of the rulers are coloured differently to reflect the frequency (red for a low frequency, blue for a high frequency) with which the corresponding values are observed in a reference set of structures determined previously. The points for a given model marked on these lines are connected to form a polygon. A polygon that is strongly compressed or dilated along some axes reveals unusually low or high values of the corresponding characteristics. Polygon vertices in ‘red zones’ indicate parameters which lie outside typical values. International Union of Crystallography 2009-03-01 2009-02-20 /pmc/articles/PMC2651759/ /pubmed/19237753 http://dx.doi.org/10.1107/S0907444908044296 Text en © Urzhumtseva et al. 2009 http://creativecommons.org/licenses/by/2.0/uk/ This is an open-access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited. |
spellingShingle | Short Communications Urzhumtseva, Ludmila Afonine, Pavel V. Adams, Paul D. Urzhumtsev, Alexandre Crystallographic model quality at a glance |
title | Crystallographic model quality at a glance |
title_full | Crystallographic model quality at a glance |
title_fullStr | Crystallographic model quality at a glance |
title_full_unstemmed | Crystallographic model quality at a glance |
title_short | Crystallographic model quality at a glance |
title_sort | crystallographic model quality at a glance |
topic | Short Communications |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2651759/ https://www.ncbi.nlm.nih.gov/pubmed/19237753 http://dx.doi.org/10.1107/S0907444908044296 |
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