mxfold/mxfold2
MXfold2: RNA secondary structure prediction using deep learning with thermodynamic integration
This tool helps molecular biologists and geneticists predict the secondary structure of RNA sequences. You provide raw RNA sequences in FASTA format, and it outputs the predicted secondary structure, represented by parentheses and dots, along with a stability score. This is useful for researchers studying RNA function, drug targeting, or genetic regulation.
162 stars.
Use this if you need to quickly and accurately predict the folding patterns of RNA molecules based on their sequence.
Not ideal if you only need to analyze a few sequences, as a web server version is available for simpler use.
Stars
162
Forks
36
Language
Python
License
MIT
Category
Last pushed
Mar 22, 2026
Commits (30d)
0
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