Literature DB >> 20577037

Coarse-graining RNA nanostructures for molecular dynamics simulations.

Maxim Paliy1, Roderick Melnik, Bruce A Shapiro.   

Abstract

A series of coarse-grained models have been developed for study of the molecular dynamics of RNA nanostructures. The models in the series have one to three beads per nucleotide and include different amounts of detailed structural information. Such a treatment allows us to reach, for systems of thousands of nucleotides, a time scale of microseconds (i.e. by three orders of magnitude longer than in full atomistic modeling) and thus to enable simulations of large RNA polymers in the context of bionanotechnology. We find that the three-beads-per-nucleotide models, described by a set of just a few universal parameters, are able to describe different RNA conformations and are comparable in structural precision to the models where detailed values of the backbone P-C4' dihedrals taken from a reference structure are included. These findings are discussed in the context of RNA conformation classes.

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Year:  2010        PMID: 20577037      PMCID: PMC3767480          DOI: 10.1088/1478-3975/7/3/036001

Source DB:  PubMed          Journal:  Phys Biol        ISSN: 1478-3967            Impact factor:   2.583


  35 in total

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Journal:  RNA       Date:  2009-02-23       Impact factor: 4.942

5.  The multiscale coarse-graining method. II. Numerical implementation for coarse-grained molecular models.

Authors:  W G Noid; Pu Liu; Yanting Wang; Jhih-Wei Chu; Gary S Ayton; Sergei Izvekov; Hans C Andersen; Gregory A Voth
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8.  Ab initio RNA folding by discrete molecular dynamics: from structure prediction to folding mechanisms.

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9.  PRIMO/PRIMONA: a coarse-grained model for proteins and nucleic acids that preserves near-atomistic accuracy.

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10.  The multiscale coarse-graining method. I. A rigorous bridge between atomistic and coarse-grained models.

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Review 2.  Coupled Multiphysics Modelling of Sensors for Chemical, Biomedical, and Environmental Applications with Focus on Smart Materials and Low-Dimensional Nanostructures.

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Journal:  Chemosensors (Basel)       Date:  2022-04-25

3.  Modeling of RNA nanotubes using molecular dynamics simulation.

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  3 in total

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