D
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.
Papers
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Determination of the regularization parameter in indirect-transform methods using perceptual criteria
TL;DR: In this paper, a method is proposed for the determination of the optimum value of the regularization parameter (Lagrange multiplier) when applying indirect transform techniques in small-angle scattering data analysis.
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CRYSOL : a program to evaluate X-ray solution scattering of biological macromolecules from atomic coordinates
TL;DR: In this paper, a program for evaluating the solution scattering from macromolecules with known atomic structure is presented, which uses multipole expansion for fast calculation of the spherically averaged scattering pattern and takes into account the hydration shell.
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PRIMUS: a Windows PC-based system for small-angle scattering data analysis
Petr V. Konarev,Petr V. Konarev,Vladimir Volkov,Vladimir Volkov,Anna Sokolova,Anna Sokolova,Michel H. J. Koch,Dmitri I. Svergun,Dmitri I. Svergun +8 more
TL;DR: A program suite for one-dimensional small-angle scattering data processing running on IBM-compatible PCs under Windows 9x/NT/2000/XP is presented and PRIMUS enables model-independent singular value decomposition or linear fitting if the scattering from the components is known.
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Restoring low resolution structure of biological macromolecules from solution scattering using simulated annealing.
TL;DR: Application of the method is illustrated by the restoration of a ribosome-like model structure and more realistically by the determination of the shape of several proteins from experimental x-ray scattering data.
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Uniqueness of ab initio shape determination in small-angle scattering
TL;DR: In this article, scattering patterns from geometrical bodies with different shapes and anisometry (solid and hollow spheres, cylinders, prisms) are computed and the shapes are reconstructed using envelope function and bead modelling methods.