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The hidden treasure in your data: phasing with unexpected weak anomalous scatterers from routine data sets

Single-wavelength anomalous dispersion (SAD) utilizing anomalous signal from native S atoms, or other atoms with Z ≤ 20, generally requires highly redundant data collected using relatively long-wavelength X-rays. Here, the results from two proteins are presented where the anomalous signal from seren...

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Autores principales: Hegde, Raghurama P., Fedorov, Alexander A., Sauder, J. Michael, Burley, Stephen K., Almo, Steven C., Ramagopal, Udupi A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5379167/
https://www.ncbi.nlm.nih.gov/pubmed/28368276
http://dx.doi.org/10.1107/S2053230X17002680
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author Hegde, Raghurama P.
Fedorov, Alexander A.
Sauder, J. Michael
Burley, Stephen K.
Almo, Steven C.
Ramagopal, Udupi A.
author_facet Hegde, Raghurama P.
Fedorov, Alexander A.
Sauder, J. Michael
Burley, Stephen K.
Almo, Steven C.
Ramagopal, Udupi A.
author_sort Hegde, Raghurama P.
collection PubMed
description Single-wavelength anomalous dispersion (SAD) utilizing anomalous signal from native S atoms, or other atoms with Z ≤ 20, generally requires highly redundant data collected using relatively long-wavelength X-rays. Here, the results from two proteins are presented where the anomalous signal from serendipitously acquired surface-bound Ca atoms with an anomalous data multiplicity of around 10 was utilized to drive de novo structure determination. In both cases, the Ca atoms were acquired from the crystallization solution, and the data-collection strategy was not optimized to exploit the anomalous signal from these scatterers. The X-ray data were collected at 0.98 Å wavelength in one case and at 1.74 Å in the other (the wavelength was optimized for sulfur, but the anomalous signal from calcium was exploited for structure solution). Similarly, using a test case, it is shown that data collected at ∼1.0 Å wavelength, where the f′′ value for sulfur is 0.28 e, are sufficient for structure determination using intrinsic S atoms from a strongly diffracting crystal. Interestingly, it was also observed that SHELXD was capable of generating a substructure solution from high-exposure data with a completeness of 70% for low-resolution reflections extending to 3.5 Å resolution with relatively low anomalous multiplicity. Considering the fact that many crystallization conditions contain anomalous scatterers such as Cl, Ca, Mn etc., checking for the presence of fortuitous anomalous signal in data from well diffracting crystals could prove useful in either determining the structure de novo or in accurately assigning surface-bound atoms.
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spelling pubmed-53791672019-04-01 The hidden treasure in your data: phasing with unexpected weak anomalous scatterers from routine data sets Hegde, Raghurama P. Fedorov, Alexander A. Sauder, J. Michael Burley, Stephen K. Almo, Steven C. Ramagopal, Udupi A. Acta Crystallogr F Struct Biol Commun Research Communications Single-wavelength anomalous dispersion (SAD) utilizing anomalous signal from native S atoms, or other atoms with Z ≤ 20, generally requires highly redundant data collected using relatively long-wavelength X-rays. Here, the results from two proteins are presented where the anomalous signal from serendipitously acquired surface-bound Ca atoms with an anomalous data multiplicity of around 10 was utilized to drive de novo structure determination. In both cases, the Ca atoms were acquired from the crystallization solution, and the data-collection strategy was not optimized to exploit the anomalous signal from these scatterers. The X-ray data were collected at 0.98 Å wavelength in one case and at 1.74 Å in the other (the wavelength was optimized for sulfur, but the anomalous signal from calcium was exploited for structure solution). Similarly, using a test case, it is shown that data collected at ∼1.0 Å wavelength, where the f′′ value for sulfur is 0.28 e, are sufficient for structure determination using intrinsic S atoms from a strongly diffracting crystal. Interestingly, it was also observed that SHELXD was capable of generating a substructure solution from high-exposure data with a completeness of 70% for low-resolution reflections extending to 3.5 Å resolution with relatively low anomalous multiplicity. Considering the fact that many crystallization conditions contain anomalous scatterers such as Cl, Ca, Mn etc., checking for the presence of fortuitous anomalous signal in data from well diffracting crystals could prove useful in either determining the structure de novo or in accurately assigning surface-bound atoms. International Union of Crystallography 2017-03-22 /pmc/articles/PMC5379167/ /pubmed/28368276 http://dx.doi.org/10.1107/S2053230X17002680 Text en © International Union of Crystallography 2017 http://journals.iucr.org/services/copyrightpolicy.html Prior permission is not required to reproduce short quotations, tables and figures from this article, provided the original authors and source are cited. For more information, see http://journals.iucr.org/services/copyrightpolicy.html.http://journals.iucr.org/services/copyrightpolicy.html
spellingShingle Research Communications
Hegde, Raghurama P.
Fedorov, Alexander A.
Sauder, J. Michael
Burley, Stephen K.
Almo, Steven C.
Ramagopal, Udupi A.
The hidden treasure in your data: phasing with unexpected weak anomalous scatterers from routine data sets
title The hidden treasure in your data: phasing with unexpected weak anomalous scatterers from routine data sets
title_full The hidden treasure in your data: phasing with unexpected weak anomalous scatterers from routine data sets
title_fullStr The hidden treasure in your data: phasing with unexpected weak anomalous scatterers from routine data sets
title_full_unstemmed The hidden treasure in your data: phasing with unexpected weak anomalous scatterers from routine data sets
title_short The hidden treasure in your data: phasing with unexpected weak anomalous scatterers from routine data sets
title_sort hidden treasure in your data: phasing with unexpected weak anomalous scatterers from routine data sets
topic Research Communications
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5379167/
https://www.ncbi.nlm.nih.gov/pubmed/28368276
http://dx.doi.org/10.1107/S2053230X17002680
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