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Nucleic acids modeling strategies

In another approach, He et al. (He et al., 2013) proposed a 2-site per nucleotide (NARES-2P, nucleic acid united residue 2-point model) CG model where chain connectivity, excluded volume and base dipole interactions are sufficient to form helical DNA and RNA structures. This model was parametrized using a bottom-up strategy by employing a set of statistical potentials, derived from DNA and RNA structures from the Protein Data Bank, and the Boltzmann inversion method to reproduce the structural features. The base-base interactions were parametrized by fitting the potential of mean force to detailed all-atoms MD simulations using also the Boltzmann inversion approach. The respective potentials do not explicitly define the nucleic-acid structure, dynamics and thermod3mamics, but are derived as potentials of mean force. By detailed analysis of the different contribution to the Hamiltonian, the authors determined that the multipole-multipole interactions are the principal factor responsible for the formation of regular structures, such as the double helical structures. [Pg.556]

We begin by discussing the modeling strategies which have been developed specifically to study nucleic acid... [Pg.1913]


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See also in sourсe #XX -- [ Pg.3 , Pg.1914 ]




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