ArticleNucleic acids research2001
Modelling ion binding to AA platform motifs in RNA: a continuum solvent study including conformational adaptation.
Article in Nucleic acids research, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Graph deep learning locates magnesium ions in RNA.QRB discovery · 2022Article
- Origin of Ion Specificity of Telomeric DNA G-Quadruplexes Investigated by Free-Energy Simulations.Biophysical journal · 2017Article
- Characterization of MgACS omega · 2016Article
- Understanding nucleic acid-ion interactions.Annual review of biochemistry · 2014Review
- Binding selectivity of dibenzo-18-crown-6 for alkali metal cations in aqueous solution: A density functional theory study using a continuum solvation model.Chemistry Central journal · 2012Article
- Dissecting electrostatic screening, specific ion binding, and ligand binding in an energetic model for glycine riboswitch folding.RNA (New York, N.Y.) · 2010Article
- Insights into nucleic acid conformational dynamics from massively parallel stochastic simulations.Biophysical journal · 2003Article
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Authors and funding
2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Binding of monovalent and divalent cations to two adenine-adenine platform structures from the Tetrahymena group I intron ribozyme has been studied using continuum solvent models based on the generalised Born and the finite-difference Poisson-Boltzmann approaches. The adenine-adenine platform RNA motif forms an experimentally characterised monovalent ion binding site important for ribozyme folding and function. Qualitative agreement between calculated and experimental ion placements and binding selectivity was obtained. The inclusion of solvation effects turned out to be important to obtain low energy structures and ion binding placements in agreement with the experiment. The calculations indicate that differences in solvation of the isolated ions contribute to the calculated ion binding preference. However, Coulomb attraction and van der Waals interactions due to ion size differences and RNA conformational adaptation also influence the calculated ion binding affinity. The calculated alkali ion binding selectivity for both platforms followed the order K(+) > Na(+) > Rb(+) > Cs(+) > Li(+) (Eisenman series VI) in the case of allowing RNA conformational relaxation during docking. With rigid RNA an Eisenman series V was obtained (K(+) > Rb(+) > Na(+) > Cs(+) > Li(+)). Systematic energy minimisation docking simulations starting from several hundred initial placements of potassium ions on the surface of platform containing RNA fragments identified a coordination geometry in agreement with the experiment as the lowest energy binding site. The approach could be helpful to identify putative ion binding sites in nucleic acid structures determined at low resolution or with experimental methods that do not allow identification of ion binding sites.
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