Russian version English version
Volume 1   Issue 1   Year 2006
Statistical Modelling and Likelihood-based Choice in Macromolecular Crystallography

Lunin V.Y., Afonine P.V., Urzhumtsev A.G.

Institute of Mathematical Problems of Biology, Russian Academy of Sciences, 142290, Pushchino, Russia

Lawrence Berkeley National Laboratory, 1 Cyclotron Road, BLDG 64R0121, Berkeley, CA 94720 USA

Departement de Physique, Universite H.Poincare Nancy 1, 54506 Vandoeuvre-les-Nancy, France

Abstract. Statistical modeling allows considering the structure under study as an element of an ensemble of structures and assigning common properties of the ensemble structures to a particular structure. Such common properties may be derived sometimes more easily for the whole ensemble than for the particular structure separately. The utility of the properties derived depends on how adequately the ensemble is introduced. The statistical likelihood may be used as the basis to choose the most reasonable statistical model. Several examples of the use of this approach in studies of structures of biological macromolecules by X-ray diffraction methods are discussed.

Key words: structure of biological macromolecules, X-ray structure analysis, statistical modeling.


The English translation of the original paper published in Russian.


Table of Contents Original Article
Math. Biol. Bioinf.
doi: 10.17537/2006.1.17
published in Russian

Abstract (rus.)
Abstract (eng.)
Full text (rus., pdf)
References Translation into English
Math. Biol. Bioinf.
doi: 10.17537/2006.1.t12

Full text (eng., pdf)


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