febos
Eugene F. Baulin
I develop innovative algorithms and best-in-class tools for RNA computational structural biology: https://github.com/febos/wikiMy research interests lie in the broad field of computational methods, including artificial intelligence methods, applied to the studies of RNA structure organization and mechanisms of RNA folding and functioning.
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ARTEM: THE tool for RNA 3D motif identification, with backbone permutations!
ARTEM identifies RNA tertiary motifs based purely on their isostericity. We applied it to search for kink-turn-like motifs and discovered two new kink-turn topologies, multiple no-kink variants of the motif, and showed that a ribosomal junction in bacteria forms either a kink or a no-kink variant depending on the species (see the Figure). We also identified kink-turns in the catalytic core of group II introns, whose structures have not previously been characterized as containing kink-turns.
ARTEM opens a fundamentally new way to study RNA 3D folds and motifs and analyze their correlations and variations.
Want to learn more?
- Check out our preprint on bioRxiv
doi.org/10.1101/2024.05.31.596898
- ARTEM is available for you on GitHub
https://github.com/david-bogdan-r/ARTEM
https://github.com/febos/ARTEM-KT
#rna#science#bioinformatics#structuralbiology#research#innovation#algorithms#biology#motif#3D#structure#kinkturn#kjunction#ARTEM#permutation#permutations
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Our works on RNA structure analysis and prediction.
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