Current deep learning methods unable to predict RNA secondary structures

Machine learning of RNA structure is more challenging than you might think. Using synthetic data from ViennaRNA's RNAfold to study the capabilities and shortcomings of neural networks for RNA secondary structure prediction in a controlled setting, we argue that shortcomings in the artificial setting will translate to real data

Posted by Michael T. Wolfinger on . updated

Functional RNA structures in the 3'UTR of Mosquito-Borne Flaviviruses

The 3'UTR of Mosquito-Borne Flaviviruses (MBFVs) contain evolutionarily conserved functional elements, such as exoribonuclease-resistant RNAs (xrRNAs), dumbbell elements or terminal stem-loops. In this contribution we describe, annotate, and compare these elements within different serological groups of MBFVs

Posted by Michael T. Wolfinger on . updated

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