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PHENIX: a comprehensive Python-based system for macromolecular structure solution
Macromolecular X-ray crystallography is routinely applied to understand biological processes at a molecular level. However, significant time and effort are still required to solve and complete many of these structures because of the need for manual interpretation of complex numerical data using man...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
International Union of Crystallography
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2815670/ https://www.ncbi.nlm.nih.gov/pubmed/20124702 http://dx.doi.org/10.1107/S0907444909052925 |
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author | Adams, Paul D. Afonine, Pavel V. Bunkóczi, Gábor Chen, Vincent B. Davis, Ian W. Echols, Nathaniel Headd, Jeffrey J. Hung, Li-Wei Kapral, Gary J. Grosse-Kunstleve, Ralf W. McCoy, Airlie J. Moriarty, Nigel W. Oeffner, Robert Read, Randy J. Richardson, David C. Richardson, Jane S. Terwilliger, Thomas C. Zwart, Peter H. |
author_facet | Adams, Paul D. Afonine, Pavel V. Bunkóczi, Gábor Chen, Vincent B. Davis, Ian W. Echols, Nathaniel Headd, Jeffrey J. Hung, Li-Wei Kapral, Gary J. Grosse-Kunstleve, Ralf W. McCoy, Airlie J. Moriarty, Nigel W. Oeffner, Robert Read, Randy J. Richardson, David C. Richardson, Jane S. Terwilliger, Thomas C. Zwart, Peter H. |
author_sort | Adams, Paul D. |
collection | PubMed |
description | Macromolecular X-ray crystallography is routinely applied to understand biological processes at a molecular level. However, significant time and effort are still required to solve and complete many of these structures because of the need for manual interpretation of complex numerical data using many software packages and the repeated use of interactive three-dimensional graphics. PHENIX has been developed to provide a comprehensive system for macromolecular crystallographic structure solution with an emphasis on the automation of all procedures. This has relied on the development of algorithms that minimize or eliminate subjective input, the development of algorithms that automate procedures that are traditionally performed by hand and, finally, the development of a framework that allows a tight integration between the algorithms. |
format | Text |
id | pubmed-2815670 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | International Union of Crystallography |
record_format | MEDLINE/PubMed |
spelling | pubmed-28156702010-02-03 PHENIX: a comprehensive Python-based system for macromolecular structure solution Adams, Paul D. Afonine, Pavel V. Bunkóczi, Gábor Chen, Vincent B. Davis, Ian W. Echols, Nathaniel Headd, Jeffrey J. Hung, Li-Wei Kapral, Gary J. Grosse-Kunstleve, Ralf W. McCoy, Airlie J. Moriarty, Nigel W. Oeffner, Robert Read, Randy J. Richardson, David C. Richardson, Jane S. Terwilliger, Thomas C. Zwart, Peter H. Acta Crystallogr D Biol Crystallogr Research Papers Macromolecular X-ray crystallography is routinely applied to understand biological processes at a molecular level. However, significant time and effort are still required to solve and complete many of these structures because of the need for manual interpretation of complex numerical data using many software packages and the repeated use of interactive three-dimensional graphics. PHENIX has been developed to provide a comprehensive system for macromolecular crystallographic structure solution with an emphasis on the automation of all procedures. This has relied on the development of algorithms that minimize or eliminate subjective input, the development of algorithms that automate procedures that are traditionally performed by hand and, finally, the development of a framework that allows a tight integration between the algorithms. International Union of Crystallography 2010-02-01 2010-01-22 /pmc/articles/PMC2815670/ /pubmed/20124702 http://dx.doi.org/10.1107/S0907444909052925 Text en © Adams et al. 2010 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 Adams, Paul D. Afonine, Pavel V. Bunkóczi, Gábor Chen, Vincent B. Davis, Ian W. Echols, Nathaniel Headd, Jeffrey J. Hung, Li-Wei Kapral, Gary J. Grosse-Kunstleve, Ralf W. McCoy, Airlie J. Moriarty, Nigel W. Oeffner, Robert Read, Randy J. Richardson, David C. Richardson, Jane S. Terwilliger, Thomas C. Zwart, Peter H. PHENIX: a comprehensive Python-based system for macromolecular structure solution |
title |
PHENIX: a comprehensive Python-based system for macromolecular structure solution |
title_full |
PHENIX: a comprehensive Python-based system for macromolecular structure solution |
title_fullStr |
PHENIX: a comprehensive Python-based system for macromolecular structure solution |
title_full_unstemmed |
PHENIX: a comprehensive Python-based system for macromolecular structure solution |
title_short |
PHENIX: a comprehensive Python-based system for macromolecular structure solution |
title_sort | phenix: a comprehensive python-based system for macromolecular structure solution |
topic | Research Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2815670/ https://www.ncbi.nlm.nih.gov/pubmed/20124702 http://dx.doi.org/10.1107/S0907444909052925 |
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