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Automated identification of elemental ions in macromolecular crystal structures
Many macromolecular model-building and refinement programs can automatically place solvent atoms in electron density at moderate-to-high resolution. This process frequently builds water molecules in place of elemental ions, the identification of which must be performed manually. The solvent-picking...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Union of Crystallography
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3975891/ https://www.ncbi.nlm.nih.gov/pubmed/24699654 http://dx.doi.org/10.1107/S1399004714001308 |
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author | Echols, Nathaniel Morshed, Nader Afonine, Pavel V. McCoy, Airlie J. Miller, Mitchell D. Read, Randy J. Richardson, Jane S. Terwilliger, Thomas C. Adams, Paul D. |
author_facet | Echols, Nathaniel Morshed, Nader Afonine, Pavel V. McCoy, Airlie J. Miller, Mitchell D. Read, Randy J. Richardson, Jane S. Terwilliger, Thomas C. Adams, Paul D. |
author_sort | Echols, Nathaniel |
collection | PubMed |
description | Many macromolecular model-building and refinement programs can automatically place solvent atoms in electron density at moderate-to-high resolution. This process frequently builds water molecules in place of elemental ions, the identification of which must be performed manually. The solvent-picking algorithms in phenix.refine have been extended to build common ions based on an analysis of the chemical environment as well as physical properties such as occupancy, B factor and anomalous scattering. The method is most effective for heavier elements such as calcium and zinc, for which a majority of sites can be placed with few false positives in a diverse test set of structures. At atomic resolution, it is observed that it can also be possible to identify tightly bound sodium and magnesium ions. A number of challenges that contribute to the difficulty of completely automating the process of structure completion are discussed. |
format | Online Article Text |
id | pubmed-3975891 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | International Union of Crystallography |
record_format | MEDLINE/PubMed |
spelling | pubmed-39758912014-05-05 Automated identification of elemental ions in macromolecular crystal structures Echols, Nathaniel Morshed, Nader Afonine, Pavel V. McCoy, Airlie J. Miller, Mitchell D. Read, Randy J. Richardson, Jane S. Terwilliger, Thomas C. Adams, Paul D. Acta Crystallogr D Biol Crystallogr Research Papers Many macromolecular model-building and refinement programs can automatically place solvent atoms in electron density at moderate-to-high resolution. This process frequently builds water molecules in place of elemental ions, the identification of which must be performed manually. The solvent-picking algorithms in phenix.refine have been extended to build common ions based on an analysis of the chemical environment as well as physical properties such as occupancy, B factor and anomalous scattering. The method is most effective for heavier elements such as calcium and zinc, for which a majority of sites can be placed with few false positives in a diverse test set of structures. At atomic resolution, it is observed that it can also be possible to identify tightly bound sodium and magnesium ions. A number of challenges that contribute to the difficulty of completely automating the process of structure completion are discussed. International Union of Crystallography 2014-03-20 /pmc/articles/PMC3975891/ /pubmed/24699654 http://dx.doi.org/10.1107/S1399004714001308 Text en © Echols et al. 2014 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 | Research Papers Echols, Nathaniel Morshed, Nader Afonine, Pavel V. McCoy, Airlie J. Miller, Mitchell D. Read, Randy J. Richardson, Jane S. Terwilliger, Thomas C. Adams, Paul D. Automated identification of elemental ions in macromolecular crystal structures |
title | Automated identification of elemental ions in macromolecular crystal structures |
title_full | Automated identification of elemental ions in macromolecular crystal structures |
title_fullStr | Automated identification of elemental ions in macromolecular crystal structures |
title_full_unstemmed | Automated identification of elemental ions in macromolecular crystal structures |
title_short | Automated identification of elemental ions in macromolecular crystal structures |
title_sort | automated identification of elemental ions in macromolecular crystal structures |
topic | Research Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3975891/ https://www.ncbi.nlm.nih.gov/pubmed/24699654 http://dx.doi.org/10.1107/S1399004714001308 |
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