Unknown

Dataset Information

0

Predicting RNA-Metal Ion Binding with Ion Dehydration Effects.


ABSTRACT: Metal ions play essential roles in nucleic acids folding and stability. The interaction between metal ions and nucleic acids can be highly complicated because of the interplay between various effects such as ion correlation, fluctuation, and dehydration. These effects may be particularly important for multivalent ions such as Mg2+ ions. Previous efforts to model ion correlation and fluctuation effects led to the development of the Monte Carlo tightly bound ion model. Here, by incorporating ion hydration/dehydration effects into the Monte Carlo tightly bound ion model, we develop a, to our knowledge, new approach to predict ion binding. The new model enables predictions for not only the number of bound ions but also the three-dimensional spatial distribution of the bound ions. Furthermore, the new model reveals several intriguing features for the bound ions such as the mutual enhancement/inhibition in ion binding between the fully hydrated (diffuse) ions, the outer-shell dehydrated ions, and the inner-shell dehydrated ions and novel features for the monovalent-divalent ion interplay due to the hydration effect.

SUBMITTER: Sun LZ 

PROVIDER: S-EPMC6350036 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature

altmetric image

Publications

Predicting RNA-Metal Ion Binding with Ion Dehydration Effects.

Sun Li-Zhen LZ   Chen Shi-Jie SJ  

Biophysical journal 20181213 2


Metal ions play essential roles in nucleic acids folding and stability. The interaction between metal ions and nucleic acids can be highly complicated because of the interplay between various effects such as ion correlation, fluctuation, and dehydration. These effects may be particularly important for multivalent ions such as Mg<sup>2+</sup> ions. Previous efforts to model ion correlation and fluctuation effects led to the development of the Monte Carlo tightly bound ion model. Here, by incorpor  ...[more]

Similar Datasets

| S-EPMC5513060 | biostudies-literature
| S-EPMC2931721 | biostudies-literature
| S-EPMC5749645 | biostudies-literature
| S-EPMC5511694 | biostudies-literature
| S-EPMC1184590 | biostudies-literature
| S-EPMC1347421 | biostudies-literature
| S-EPMC4370743 | biostudies-literature
| S-EPMC3379622 | biostudies-literature
| S-EPMC2574882 | biostudies-literature