Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/103822
Title: A coarse-grained DNA model parameterized from atomistic simulations by inverse Monte Carlo
Authors: Korolev, Nikolay
Luo, Di
Lyubartsev, Alexander P.
Nordenskiöld, Lars
Keywords: DRNTU::Science::Biological sciences
Issue Date: 2014
Source: Korolev, N., Luo, D., Lyubartsev, A. P., & Nordenskiöld, L. (2014). A Coarse-Grained DNA Model Parameterized from Atomistic Simulations by Inverse Monte Carlo. Polymers, 6(6), 1655-1675.
Series/Report no.: Polymers
Abstract: Computer modeling of very large biomolecular systems, such as long DNA polyelectrolytes or protein-DNA complex-like chromatin cannot reach all-atom resolution in a foreseeable future and this necessitates the development of coarse-grained (CG) approximations. DNA is both highly charged and mechanically rigid semi-flexible polymer and adequate DNA modeling requires a correct description of both its structural stiffness and salt-dependent electrostatic forces. Here, we present a novel CG model of DNA that approximates the DNA polymer as a chain of 5-bead units. Each unit represents two DNA base pairs with one central bead for bases and pentose moieties and four others for phosphate groups. Charges, intra- and inter-molecular force field potentials for the CG DNA model were calculated using the inverse Monte Carlo method from all atom molecular dynamic (MD) simulations of 22 bp DNA oligonucleotides. The CG model was tested by performing dielectric continuum Langevin MD simulations of a 200 bp double helix DNA in solutions of monovalent salt with explicit ions. Excellent agreement with experimental data was obtained for the dependence of the DNA persistent length on salt concentration in the range 0.1–100 mM. The new CG DNA model is suitable for modeling various biomolecular systems with adequate description of electrostatic and mechanical properties.
URI: https://hdl.handle.net/10356/103822
http://hdl.handle.net/10220/20023
ISSN: 2073-4360
DOI: http://dx.doi.org/10.3390/polym6061655
Rights: © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SBS Journal Articles

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