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Matematicheskaya Biologiya i Bioinformatika, 2017, Volume 12, Issue 2, Pages 521–535
DOI: https://doi.org/10.17537/2017.12.521
(Mi mbb310)
 

This article is cited in 2 scientific papers (total in 2 papers)

Mathematical Modeling

The use of connected masks for reconstructing the single particle image from X-ray diffraction data. III. Maximum-likelihood based strategies to select solution of the phase problem

N. L. Luninaa, T. E. Petrovaa, A. G. Urzhumtsevbc, V. Yu. Lunina

a Institute of Mathematical Problems of Biology RAS – the Branch of Keldysh Institute of Applied Mathematics RAS, Pushchino, Moscow Region, 142290 Russia
b Université de Lorraine, 54506 Vandoeuvre-lès-Nancy, France
c Institut de Génétique et de Biologie Moléculaire et Cellulaire, 67404 Illkirch, France
References:
Abstract: The main experimental limitation of biological crystallography is associated with the need to prepare the object under study in the form of a single crystal. New powerful X-ray sources, namely free-electron X-ray lasers, makes it possible to raise the question of the determination of the structure of isolated biological macromolecules and their complexes in practice. An additional advantage of working with isolated particles is the possibility to obtain information about scattering in all directions, and not only in those limited by the Laue-Bragg diffraction conditions. This significantly facilitates the solution of the phase problem of X-ray diffraction analysis. This paper is devoted to two lines of development of the method for solving the phase problem, proposed earlier by the authors, which is based on the random scanning of the configuration space of potential solutions of the phase problem. The paper suggests a new criterion for the selection of "candidates" for solving the phase problem in the process of scanning. It involves the maximization of statistical likelihood, and its effectiveness is shown in test calculations. The second line concerns the choice of the optimal scanning strategy. It is shown that the gradual expansion of the set of experimental data used in the work allows obtaining solutions of a higher quality than those obtained with all available data included into the work simultaneously from the beginning.
Key words: X-ray crystallography, the phase problem, XFEL, single particle diffraction.
Funding agency Grant number
Russian Foundation for Basic Research 16-04-01037_а
Agence Nationale de la Recherche ANR-10-INBS-05
Received 29.11.2017, Published 13.12.2017
Document Type: Article
UDC: 577.3
Language: Russian
Citation: N. L. Lunina, T. E. Petrova, A. G. Urzhumtsev, V. Yu. Lunin, “The use of connected masks for reconstructing the single particle image from X-ray diffraction data. III. Maximum-likelihood based strategies to select solution of the phase problem”, Mat. Biolog. Bioinform., 12:2 (2017), 521–535
Citation in format AMSBIB
\Bibitem{LunPetUrz17}
\by N.~L.~Lunina, T.~E.~Petrova, A.~G.~Urzhumtsev, V.~Yu.~Lunin
\paper The use of connected masks for reconstructing the single particle image from X-ray diffraction data. III. Maximum-likelihood based strategies to select solution of the phase problem
\jour Mat. Biolog. Bioinform.
\yr 2017
\vol 12
\issue 2
\pages 521--535
\mathnet{http://mi.mathnet.ru/mbb310}
\crossref{https://doi.org/10.17537/2017.12.521}
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