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IsRNA: An Iterative Simulated Reference State Approach to Modeling Correlated Interactions in RNA Folding.

Dong ZhangShi-Jie Chen
Published in: Journal of chemical theory and computation (2018)
Coarse-grained RNA folding models promise great potential for RNA structure prediction. A key component in a coarse-grained folding model is the force field. One of the challenges in the coarse-grained force field calculation is how to treat the correlation between the different degrees of freedoms. Here, we describe a new approach (IsRNA) to extract the correlated energy functions from the known structures. Through iterative molecular dynamics simulations, we build the correlation effects into the reference states, from which we extract the energy functions. The validity of IsRNA is supported by the close agreement between the simulated Boltzmann-like probability distributions for all the structure parameters and those observed from the experimentally determined structures. The correlated energy functions derived here may provide a new tool for RNA 3D structure prediction.
Keyphrases
  • molecular dynamics simulations
  • molecular dynamics
  • molecular docking
  • single molecule
  • oxidative stress
  • nucleic acid
  • high resolution
  • image quality
  • anti inflammatory
  • mass spectrometry
  • machine learning