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Ab initio structure determination from experimental fluctuation X-ray scattering data.
Pande, Kanupriya; Donatelli, Jeffrey J; Malmerberg, Erik; Foucar, Lutz; Bostedt, Christoph; Schlichting, Ilme; Zwart, Petrus H.
Afiliación
  • Pande K; Center for Advanced Mathematics for Energy Research Applications, Lawrence Berkeley National Laboratory, Berkeley, CA 94720-8142.
  • Donatelli JJ; Molecular Biophysics and Integrated Bio-Imaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720-8142.
  • Malmerberg E; Center for Advanced Mathematics for Energy Research Applications, Lawrence Berkeley National Laboratory, Berkeley, CA 94720-8142.
  • Foucar L; Department of Mathematics, Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720-8142.
  • Bostedt C; Center for Advanced Mathematics for Energy Research Applications, Lawrence Berkeley National Laboratory, Berkeley, CA 94720-8142.
  • Schlichting I; Molecular Biophysics and Integrated Bio-Imaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720-8142.
  • Zwart PH; Hit Discovery, Discovery Sciences, Innovative Medicines and Early Development Biotech Unit, AstraZeneca, SE-43183 Gothenburg, Sweden.
Proc Natl Acad Sci U S A ; 115(46): 11772-11777, 2018 11 13.
Article en En | MEDLINE | ID: mdl-30373827
ABSTRACT
Fluctuation X-ray scattering (FXS) is an emerging experimental technique in which X-ray solution scattering data are collected from particles in solution using ultrashort X-ray exposures generated by a free-electron laser (FEL). FXS experiments overcome the low data-to-parameter ratios associated with traditional solution scattering measurements by providing several orders of magnitude more information in the final processed data. Here we demonstrate the practical feasibility of FEL-based FXS on a biological multiple-particle system and describe data-processing techniques required to extract robust FXS data and significantly reduce the required number of snapshots needed by introducing an iterative noise-filtering technique. We showcase a successful ab initio electron density reconstruction from such an experiment, studying the Paramecium bursaria Chlorella virus (PBCV-1).
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Cristalografía por Rayos X / Espectroscopía de Fotoelectrones Tipo de estudio: Diagnostic_studies Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2018 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Cristalografía por Rayos X / Espectroscopía de Fotoelectrones Tipo de estudio: Diagnostic_studies Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2018 Tipo del documento: Article