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Recognizing RNA structural motifs in HT-SELEX data for ribosomal protein S15.

Shermin PeiBetty L SlingerMichelle M Meyer
Published in: BMC bioinformatics (2017)
Discrete substructures are likely to be important to RNA-protein interactions, but they are difficult to elucidate. Substructures can help make highly diverse sequence data more tractable. The structure motifs provide limited accuracy in predicting enrichment suggesting that G. kaustophilus S15 can either recognize many different secondary structure motifs or some aspects of the interaction are not captured by the analysis. This highlights the importance of considering secondary and tertiary structure elements and their role in RNA-protein interactions.
Keyphrases
  • amino acid
  • protein protein
  • electronic health record
  • binding protein
  • big data
  • nucleic acid
  • deep learning