The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Automatic protein structure solution from weak X-ray data
Open accessAbstract
Determining new protein structures from X-ray diffraction data at low resolution or with a weak anomalous signal is a difficult and often an impossible task. Here we propose a multivariate algorithm that simultaneously combines the structure determination steps. In tests on over 140 real data sets from the protein data bank, we show that this combined approach can automatically build models where current algorithms fail, including an anisotropically diffracting 3.88 Å RNA polymerase II data set. The method seamlessly automates the process, is ideal for non-specialists and provides a mathematical framework for successfully combining various sources of information in image processing. X-ray crystallography is a routine technique used to solve protein structures, but is often limited by weak anomalous scattering signals and low-resolution data. Here, the authors develop a synergistic algorithm to significantly increase the success rate of structure solution when the signal is weak.
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PHENIX : a comprehensive Python-based system for macromolecular structure solution
Adams, P. D., Afonine, P. V., Bunkóczi, G., Chen, V. B., Davis, I. W., Echols, N., Headd, J. J., Hung, L.-W., Kapral, G. J., Grosse-Kunstleve, R. W., et al. (2010) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444909052925 · Cited by 23,716
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Tetreau, G., Sawaya, M. R., De Zitter, E., Andreeva, E. A., Banneville, A.-S., Schibrowsky, N. A., Coquelle, N., Brewster, A. S., Grünbein, M. L., Kovacs, G. N., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-31746-x · Cited by 28
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Outram, M. A., Chen, J., Broderick, S., Li, Z., Aditya, S., Tasneem, N., Arndell, T., Blundell, C., Ericsson, D. J., Figueroa, M., et al. (2024) · New Phytologist · doi:10.1111/nph.19801 · Cited by 15
Ishii, M., Ludzia, P., Marcianò, G., Allen, W., Nerusheva, O. O., & Akiyoshi, B. (2022) · Molecular Biology of the Cell · doi:10.1091/mbc.e22-07-0269-t · Cited by 5
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Metadata
- Authors
- Skubák, P., & Pannu, N. S.
- Venue
- Nature Communications
- Published
- 2013-11-15
- Volume
- 4
- Issue
- 1
- Pages
- 2777-2777
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2019425225
- Cited by
- 282
- References
- 1
- FWCI
- 3.11
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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