A structure-based model for the prediction of protein-RNA binding affinity.

@article{Nithin2019ASM,
  title={A structure-based model for the prediction of protein-RNA binding affinity.},
  author={C. Nithin and Sunandan Mukherjee and R. Bahadur},
  journal={RNA},
  year={2019}
}
Protein-RNA recognition is highly affinity driven and regulates a wide array of cellular functions. In this study, we have curated a binding affinity dataset of 40 protein-RNA complexes, for which at least one unbound partner is available in the docking benchmark. The dataset covers a wide affinity range of eight orders of magnitude as well as four different structural classes. On an average, we find the complexes with single-stranded RNA have the highest affinity while the complexes with the… Expand
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