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How accurate are accurate force-fields for B-DNA?

ABSTRACT: Last generation of force-fields are raising expectations on the quality of molecular dynamics (MD) simulations of DNA, as well as to the belief that theoretical models can substitute experimental ones in several cases. However these claims are based on limited benchmarks, where MD simulations have shown the ability to reproduce already existing 'experimental models', which in turn, have an unclear accuracy to represent DNA conformation in solution. In this work we explore the ability of different force-fields to predict the structure of two new B-DNA dodecamers, determined herein by means of 1H nuclear magnetic resonance (NMR). The study allowed us to check directly for experimental NMR observables on duplexes previously not solved, and also to assess the reliability of 'experimental structures'. We observed that technical details in the annealing procedures can induce non-negligible local changes in the final structures. We also found that while not all theoretical simulations are equally reliable, those obtained using last generation of AMBER force-fields (BSC1 and BSC0OL15) show predictive power in the multi-microsecond timescale and can be safely used to reproduce global structure of DNA duplexes and fine sequence-dependent details.

SUBMITTER: Dans PD

PROVIDER: S-EPMC5397185 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature

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How accurate are accurate force-fields for B-DNA?

Dans Pablo D PD Ivani Ivan I Hospital Adam A Portella Guillem G González Carlos C Orozco Modesto M

Nucleic acids research 20170401 7

Last generation of force-fields are raising expectations on the quality of molecular dynamics (MD) simulations of DNA, as well as to the belief that theoretical models can substitute experimental ones in several cases. However these claims are based on limited benchmarks, where MD simulations have shown the ability to reproduce already existing 'experimental models', which in turn, have an unclear accuracy to represent DNA conformation in solution. In this work we explore the ability of differen ...[more]

PMID: 28088759

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Project description:The high concentration of macromolecules in the crowded cellular interior influences different thermodynamic and kinetic properties of proteins, including their structural stabilities, intermolecular binding affinities and enzymatic rates. Moreover, various structural biology methods, such as NMR or different spectroscopies, typically involve samples with relatively high protein concentration. Due to large sampling requirements, however, the accuracy of classical molecular dynamics (MD) simulations in capturing protein behavior at high concentration still remains largely untested. Here, we use explicit-solvent MD simulations and a total of 6.4 µs of simulated time to study wild-type (folded) and oxidatively damaged (unfolded) forms of villin headpiece at 6 mM and 9.2 mM protein concentration. We first perform an exhaustive set of simulations with multiple protein molecules in the simulation box using GROMOS 45a3 and 54a7 force fields together with different types of electrostatics treatment and solution ionic strengths. Surprisingly, the two villin headpiece variants exhibit similar aggregation behavior, despite the fact that their estimated aggregation propensities markedly differ. Importantly, regardless of the simulation protocol applied, wild-type villin headpiece consistently aggregates even under conditions at which it is experimentally known to be soluble. We demonstrate that aggregation is accompanied by a large decrease in the total potential energy, with not only hydrophobic, but also polar residues and backbone contributing substantially. The same effect is directly observed for two other major atomistic force fields (AMBER99SB-ILDN and CHARMM22-CMAP) as well as indirectly shown for additional two (AMBER94, OPLS-AAL), and is possibly due to a general overestimation of the potential energy of protein-protein interactions at the expense of water-water and water-protein interactions. Overall, our results suggest that current MD force fields may distort the picture of protein behavior in biologically relevant crowded environments.

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How accurate are accurate force-fields for B-DNA?

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How accurate are accurate force-fields for B-DNA?

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