Modeling Structure, Stability, and Flexibility of Double-Stranded RNAs in Salt Solutions.

Biophys J

Center for Theoretical Physics and Key Laboratory of Artificial Micro- & Nanostructures of Ministry of Education, School of Physics and Technology, Wuhan University, Wuhan, China. Electronic address:

Published: October 2018

AI Article Synopsis

  • Double-stranded RNAs (dsRNAs) are crucial for cell metabolism, and understanding their 3D structure, stability, and flexibility in salt solutions helps clarify their biological roles.* -
  • This study expands a coarse-grained model to accurately predict the 3D structures and thermal stability of dsRNAs in different ion conditions, improving predictions by including electrostatic potential.* -
  • The model shows that the thermal stability of dsRNAs varies based on their length and sequence, and it effectively correlates predictions of dsRNA flexibility in salt solutions with experimental data.*

Article Abstract

Double-stranded (ds) RNAs play essential roles in many processes of cell metabolism. The knowledge of three-dimensional (3D) structure, stability, and flexibility of dsRNAs in salt solutions is important for understanding their biological functions. In this work, we further developed our previously proposed coarse-grained model to predict 3D structure, stability, and flexibility for dsRNAs in monovalent and divalent ion solutions through involving an implicit structure-based electrostatic potential. The model can make reliable predictions for 3D structures of extensive dsRNAs with/without bulge/internal loops from their sequences, and the involvement of the structure-based electrostatic potential and corresponding ion condition can improve the predictions for 3D structures of dsRNAs in ion solutions. Furthermore, the model can make good predictions for thermal stability for extensive dsRNAs over the wide range of monovalent/divalent ion concentrations, and our analyses show that the thermally unfolding pathway of dsRNA is generally dependent on its length as well as its sequence. In addition, the model was employed to examine the salt-dependent flexibility of a dsRNA helix, and the calculated salt-dependent persistence lengths are in good accordance with experiments.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6260225PMC
http://dx.doi.org/10.1016/j.bpj.2018.08.030DOI Listing

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