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Robust structural analysis of native biological macromolecules from multi-crystal anomalous diffraction data
Structure determinations for biological macromolecules that have no known structural antecedents typically involve the incorporation of heavier atoms than those found natively in biological molecules. Currently, selenomethionyl proteins analyzed using single- or multi-wavelength anomalous diffractio...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Union of Crystallography
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3689535/ https://www.ncbi.nlm.nih.gov/pubmed/23793158 http://dx.doi.org/10.1107/S0907444913001479 |
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author | Liu, Qun Liu, Qinglian Hendrickson, Wayne A. |
author_facet | Liu, Qun Liu, Qinglian Hendrickson, Wayne A. |
author_sort | Liu, Qun |
collection | PubMed |
description | Structure determinations for biological macromolecules that have no known structural antecedents typically involve the incorporation of heavier atoms than those found natively in biological molecules. Currently, selenomethionyl proteins analyzed using single- or multi-wavelength anomalous diffraction (SAD or MAD) data predominate for such de novo analyses. Naturally occurring metal ions such as zinc or iron often suffice in MAD or SAD experiments, and sulfur SAD has been an option since it was first demonstrated using crambin 30 years ago; however, SAD analyses of structures containing only light atoms (Z (max) ≤ 20) have not been common. Here, robust procedures for enhancing the signal to noise in measurements of anomalous diffraction by combining data collected from several crystals at a lower than usual X-ray energy are described. This multi-crystal native SAD method was applied in five structure determinations, using between five and 13 crystals to determine substructures of between four and 52 anomalous scatterers (Z ≤ 20) and then the full structures ranging from 127 to 1200 ordered residues per asymmetric unit at resolutions from 2.3 to 2.8 Å. Tests were devised to assure that all of the crystals used were statistically equivalent. Elemental identities for Ca, Cl, S, P and Mg were proven by f′′ scattering-factor refinements. The procedures are robust, indicating that truly routine structure determination of typical native macromolecules is realised. Synchrotron beamlines that are optimized for low-energy X-ray diffraction measurements will facilitate such direct structural analysis. |
format | Online Article Text |
id | pubmed-3689535 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | International Union of Crystallography |
record_format | MEDLINE/PubMed |
spelling | pubmed-36895352013-06-28 Robust structural analysis of native biological macromolecules from multi-crystal anomalous diffraction data Liu, Qun Liu, Qinglian Hendrickson, Wayne A. Acta Crystallogr D Biol Crystallogr Research Papers Structure determinations for biological macromolecules that have no known structural antecedents typically involve the incorporation of heavier atoms than those found natively in biological molecules. Currently, selenomethionyl proteins analyzed using single- or multi-wavelength anomalous diffraction (SAD or MAD) data predominate for such de novo analyses. Naturally occurring metal ions such as zinc or iron often suffice in MAD or SAD experiments, and sulfur SAD has been an option since it was first demonstrated using crambin 30 years ago; however, SAD analyses of structures containing only light atoms (Z (max) ≤ 20) have not been common. Here, robust procedures for enhancing the signal to noise in measurements of anomalous diffraction by combining data collected from several crystals at a lower than usual X-ray energy are described. This multi-crystal native SAD method was applied in five structure determinations, using between five and 13 crystals to determine substructures of between four and 52 anomalous scatterers (Z ≤ 20) and then the full structures ranging from 127 to 1200 ordered residues per asymmetric unit at resolutions from 2.3 to 2.8 Å. Tests were devised to assure that all of the crystals used were statistically equivalent. Elemental identities for Ca, Cl, S, P and Mg were proven by f′′ scattering-factor refinements. The procedures are robust, indicating that truly routine structure determination of typical native macromolecules is realised. Synchrotron beamlines that are optimized for low-energy X-ray diffraction measurements will facilitate such direct structural analysis. International Union of Crystallography 2013-06-13 /pmc/articles/PMC3689535/ /pubmed/23793158 http://dx.doi.org/10.1107/S0907444913001479 Text en © Liu et al. 2013 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 Liu, Qun Liu, Qinglian Hendrickson, Wayne A. Robust structural analysis of native biological macromolecules from multi-crystal anomalous diffraction data |
title | Robust structural analysis of native biological macromolecules from multi-crystal anomalous diffraction data |
title_full | Robust structural analysis of native biological macromolecules from multi-crystal anomalous diffraction data |
title_fullStr | Robust structural analysis of native biological macromolecules from multi-crystal anomalous diffraction data |
title_full_unstemmed | Robust structural analysis of native biological macromolecules from multi-crystal anomalous diffraction data |
title_short | Robust structural analysis of native biological macromolecules from multi-crystal anomalous diffraction data |
title_sort | robust structural analysis of native biological macromolecules from multi-crystal anomalous diffraction data |
topic | Research Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3689535/ https://www.ncbi.nlm.nih.gov/pubmed/23793158 http://dx.doi.org/10.1107/S0907444913001479 |
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