Enhanced prediction of RNA solvent accessibility with long short-term memory neural networks and improved sequence profiles.
Journal:
Bioinformatics (Oxford, England)
Published Date:
May 15, 2019
Abstract
MOTIVATION: The de novo prediction of RNA tertiary structure remains a grand challenge. Predicted RNA solvent accessibility provides an opportunity to address this challenge. To the best of our knowledge, there is only one method (RNAsnap) available for RNA solvent accessibility prediction. However, its performance is unsatisfactory for protein-free RNAs.