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Software for the high-throughput collection of SAXS data using an enhanced Blu-Ice/DCS control system
Biological small-angle X-ray scattering (SAXS) provides powerful complementary data for macromolecular crystallography (MX) by defining shape, conformation and assembly in solution. Although SAXS is in principle the highest throughput technique for structural biology, data collection is limited in p...
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/PMC2964114/ https://www.ncbi.nlm.nih.gov/pubmed/20975223 http://dx.doi.org/10.1107/S0909049510028566 |
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author | Classen, Scott Rodic, Ivan Holton, James Hura, Greg L. Hammel, Michal Tainer, John A. |
author_facet | Classen, Scott Rodic, Ivan Holton, James Hura, Greg L. Hammel, Michal Tainer, John A. |
author_sort | Classen, Scott |
collection | PubMed |
description | Biological small-angle X-ray scattering (SAXS) provides powerful complementary data for macromolecular crystallography (MX) by defining shape, conformation and assembly in solution. Although SAXS is in principle the highest throughput technique for structural biology, data collection is limited in practice by current data collection software. Here the adaption of beamline control software, historically developed for MX beamlines, for the efficient operation and high-throughput data collection at synchrotron SAXS beamlines is reported. The Blu-Ice GUI and Distributed Control System (DCS) developed in the Macromolecular Crystallography Group at the Stanford Synchrotron Radiation Laboratory has been optimized, extended and enhanced to suit the specific needs of the biological SAXS endstation at the SIBYLS beamline at the Advanced Light Source. The customizations reported here provide a potential route for other SAXS beamlines in need of robust and efficient beamline control software. As a great deal of effort and optimization has gone into crystallographic software, the adaption and extension of crystallographic software may prove to be a general strategy to provide advanced SAXS software for the synchrotron community. In this way effort can be put into optimizing features for SAXS rather than reproducing those that have already been successfully implemented for the crystallographic community. |
format | Text |
id | pubmed-2964114 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | International Union of Crystallography |
record_format | MEDLINE/PubMed |
spelling | pubmed-29641142010-10-28 Software for the high-throughput collection of SAXS data using an enhanced Blu-Ice/DCS control system Classen, Scott Rodic, Ivan Holton, James Hura, Greg L. Hammel, Michal Tainer, John A. J Synchrotron Radiat Research Papers Biological small-angle X-ray scattering (SAXS) provides powerful complementary data for macromolecular crystallography (MX) by defining shape, conformation and assembly in solution. Although SAXS is in principle the highest throughput technique for structural biology, data collection is limited in practice by current data collection software. Here the adaption of beamline control software, historically developed for MX beamlines, for the efficient operation and high-throughput data collection at synchrotron SAXS beamlines is reported. The Blu-Ice GUI and Distributed Control System (DCS) developed in the Macromolecular Crystallography Group at the Stanford Synchrotron Radiation Laboratory has been optimized, extended and enhanced to suit the specific needs of the biological SAXS endstation at the SIBYLS beamline at the Advanced Light Source. The customizations reported here provide a potential route for other SAXS beamlines in need of robust and efficient beamline control software. As a great deal of effort and optimization has gone into crystallographic software, the adaption and extension of crystallographic software may prove to be a general strategy to provide advanced SAXS software for the synchrotron community. In this way effort can be put into optimizing features for SAXS rather than reproducing those that have already been successfully implemented for the crystallographic community. International Union of Crystallography 2010-11-01 2010-09-03 /pmc/articles/PMC2964114/ /pubmed/20975223 http://dx.doi.org/10.1107/S0909049510028566 Text en © Scott Classen 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 Classen, Scott Rodic, Ivan Holton, James Hura, Greg L. Hammel, Michal Tainer, John A. Software for the high-throughput collection of SAXS data using an enhanced Blu-Ice/DCS control system |
title | Software for the high-throughput collection of SAXS data using an enhanced Blu-Ice/DCS control system |
title_full | Software for the high-throughput collection of SAXS data using an enhanced Blu-Ice/DCS control system |
title_fullStr | Software for the high-throughput collection of SAXS data using an enhanced Blu-Ice/DCS control system |
title_full_unstemmed | Software for the high-throughput collection of SAXS data using an enhanced Blu-Ice/DCS control system |
title_short | Software for the high-throughput collection of SAXS data using an enhanced Blu-Ice/DCS control system |
title_sort | software for the high-throughput collection of saxs data using an enhanced blu-ice/dcs control system |
topic | Research Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2964114/ https://www.ncbi.nlm.nih.gov/pubmed/20975223 http://dx.doi.org/10.1107/S0909049510028566 |
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