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).
CITATION STYLE
Zhang, K., Abdallah, K., Ajmera, P., Finos, K., Looka, A., Mekhael, J., & Frank, A. T. (2021). CS-Annotate: A Tool for Using NMR Chemical Shifts to Annotate RNA Structure. Journal of Chemical Information and Modeling, 61(4), 1545–1549. https://doi.org/10.1021/acs.jcim.1c00006
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