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Dmitri I. Svergun

Researcher at European Bioinformatics Institute

Publications -  594
Citations -  54939

Dmitri I. Svergun is an academic researcher from European Bioinformatics Institute. The author has contributed to research in topics: Small-angle X-ray scattering & Scattering. The author has an hindex of 83, co-authored 576 publications receiving 48619 citations. Previous affiliations of Dmitri I. Svergun include University of Massachusetts Medical School & University of Hamburg.

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Journal ArticleDOI

Versatile sample environments and automation for biological solution X‐ray scattering experiments at the P12 beamline (PETRA III, DESY)

TL;DR: An integrated environment for biological small-angle X-ray scattering (BioSAXS) at the high-brilliance P12 synchrotron beamline of the EMBL (DESY, Hamburg) allows for a broad range of solution scattering experiments.
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A practical guide to small angle X-ray scattering (SAXS) of flexible and intrinsically disordered proteins

Alexey Kikhney, +1 more
- 14 Sep 2015 - 
TL;DR: Examples of the synergistic use of SAXS with high resolution methods like X‐ray crystallography and nuclear magnetic resonance (NMR), as well as other experimental andin silico techniques to characterize completely, or partially unstructured proteins, are presented.
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ATSAS 2.1 – towards automated and web-supported small-angle scattering data analysis

TL;DR: A prototype of an automated data-analysis system for isotropic solution scattering based on the further development of the programs belonging to the package ATSAS 2.1 is reported.
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Solution Structure of the E. coli 70S Ribosome at 11.5 Å Resolution

TL;DR: Comparison of double-stranded RNA regions and positions of proteins identified in both cryo-EM and X-ray maps indicates good overall agreement but points to rearrangements of ribosomal components required for the subunit association.
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ATSAS 3.0: expanded functionality and new tools for small-angle scattering data analysis.

TL;DR: Developments in the ATSAS 3.0 release are described, including new programs for data simulation and for the structural modelling of lipids, nucleic acids and polydisperse systems.