Introduction

RNAsol is a method for the prediciton of position-specific relative solvent accessible surface areas for RNAs. RNAsol was built based on improved sequence profiles from sequence-profile alignment and trained with the long short-term memory (LSTM) neural networks. Independent tests on the same datasets used by method RNAsnap show that RNAsol's accuracy is 26.5% and 136.4% higher than that of RNAsnap, for protein-bound RNAs and protein-free RNAs. The input to RNAsol is the nucleotide sequence of the RNA to be predicted. The output includes the accessible surface area for each nucleotide in the RNA sequnece. Read more about the RNAsol algorithm...

Submit

Input your RNA sequence in FASTA format. (The length of your input RNA should be in the range of 10~1000 nt.)  Click for an example FASTA input

Or upload the sequence file:

Email: (Optional, where the results will be sent to)

ID: (Optional, your given name to this RNA)

Submit Reset

Reference

S. Sun, Q. Wu, Z. Peng, J. Yang, Enhanced prediction of RNA solvent accessibility with long short-term memory neural networks and improved sequence profiles, Bioinformatics, 35:1686-1691, 2019.