MODELING OF POTEIN-DNA COMPLEXES GEOMETRY UTILISING FRET AND FOOTPRINTING DATA
Abstract
We discuss the question of constructing three-dimensional models of DNA complexed with proteins on the basis of computer modeling and indirect methods for studying the structure of macromolecules. We consider methods of interpreting the experimental data obtained by indirect methods for studying the three-dimensional structure of biomolecules. We discuss some aspects of the integration of such data in to the process of molecular models building (based on the geometric characteristics of DNA). We propose an algorithm for the estimation of protein-DNA complexes structure on the basis of information about the local DNA flexibility and experimental data obtained by Forster resonance energy transfer (FRET) and hydroxyl footprinting methods. Finally, we use this method for prediction of the hypothetical configuration of DNA in nucleosome bound with histone H1.
About the Authors
G. A. Armeev
Department of Bioengineering, School of Biology, M.V. Lomonosov Moscow State University, Leninskiye gory 1–12, Moscow, 119234, Russia
Russian Federation
Russian Federation
T. K. Gorkovets
Department of Bioengineering, School of Biology, M.V. Lomonosov Moscow State University, Leninskiye gory 1–12, Moscow, 119234, Russia
Russian Federation
Russian Federation
D. A. Efimova
Department of Bioengineering, School of Biology, M.V. Lomonosov Moscow State University, Leninskiye gory 1–12, Moscow, 119234, Russia
Russian Federation
Russian Federation
K. V. Shaitan
Department of Bioengineering, School of Biology, M.V. Lomonosov Moscow State University, Leninskiye gory 1–12, Moscow, 119234, Russia
Russian Federation
Russian Federation
A. K. Shaytan
Department of Bioengineering, School of Biology, M.V. Lomonosov Moscow State University, Leninskiye gory 1–12, Moscow, 119234, Russia
Russian Federation
Russian Federation
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Review
For citations:
Armeev G.A., Gorkovets T.K., Efimova D.A., Shaitan K.V., Shaytan A.K. MODELING OF POTEIN-DNA COMPLEXES GEOMETRY UTILISING FRET AND FOOTPRINTING DATA. Vestnik Moskovskogo universiteta. Seriya 16. Biologiya. 2016;(1):35-40. (In Russ.)
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