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.

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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)

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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.