BCL::SAXS: GPU accelerated Debye method for computation of small angle X-ray scattering profiles

ABSTRACT Small angle X‐ray scattering (SAXS) is an experimental technique used for structural characterization of macromolecules in solution. Here, we introduce BCL::SAXS—an algorithm designed to replicate SAXS profiles from rigid protein models at different levels of detail. We first show our deriv...

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Published inProteins, structure, function, and bioinformatics Vol. 83; no. 8; pp. 1500 - 1512
Main Authors Putnam, Daniel K., Weiner, Brian E., Woetzel, Nils, Lowe Jr, Edward W., Meiler, Jens
Format Journal Article
LanguageEnglish
Published United States Blackwell Publishing Ltd 01.08.2015
Wiley Subscription Services, Inc
Wiley
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ISSN0887-3585
1097-0134
DOI10.1002/prot.24838

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Summary:ABSTRACT Small angle X‐ray scattering (SAXS) is an experimental technique used for structural characterization of macromolecules in solution. Here, we introduce BCL::SAXS—an algorithm designed to replicate SAXS profiles from rigid protein models at different levels of detail. We first show our derivation of BCL::SAXS and compare our results with the experimental scattering profile of hen egg white lysozyme. Using this protein we show how to generate SAXS profiles representing: (1) complete models, (2) models with approximated side chain coordinates, and (3) models with approximated side chain and loop region coordinates. We evaluated the ability of SAXS profiles to identify a correct protein topology from a non‐redundant benchmark set of proteins. We find that complete SAXS profiles can be used to identify the correct protein by receiver operating characteristic (ROC) analysis with an area under the curve (AUC) > 99%. We show how our approximation of loop coordinates between secondary structure elements improves protein recognition by SAχS for protein models without loop regions and side chains. Agreement with SAXS data is a necessary but not sufficient condition for structure determination. We conclude that experimental SAXS data can be used as a filter to exclude protein models with large structural differences from the native. Proteins 2015; 83:1500–1512. © 2015 Wiley Periodicals, Inc.
Bibliography:NSF - No. Career 0742762 and OIA 0959454
NIH - No. R01 GM080403, R01 MH090192, and R01 GM099842
ArticleID:PROT24838
NLM (to D.K.P.) - No. 5T15LM007450-09
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USDOE
USDOE Office of Science
National Science Foundation (NSF)
None
ISSN:0887-3585
1097-0134
DOI:10.1002/prot.24838