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CS-Annotate: A Tool for Using NMR Chemical Shifts to Annotate RNA Structure.

Kexin ZhangKyrillos AbdallahPujan AjmeraKyle FinosAndrew LookaJoseph MekhaelAaron T Frank
Published in: Journal of chemical information and modeling (2021)
Here, we introduce CS-Annotate, a tool that uses assigned NMR chemical shifts to annotate structural features in RNA. At its core, CS-Annotate is a deployment of a multitask deep learning model that simultaneously classifies the solvent exposure, base-stacking and -pairing status, and conformation of individual RNA residues from their chemical shift fingerprint. Here, we briefly describe how we trained and tested the classifier and demonstrate its application to a model RNA system. CS-Annotate can be accessed via the SMALTR (Structure-based MAchine Learning Tools for RNA) Science Gateway (smaltr.org).
Keyphrases
  • machine learning
  • deep learning
  • magnetic resonance
  • nucleic acid
  • high resolution
  • public health
  • molecular dynamics simulations