EvryRNA : State-of-the-RNArt

State-of-the-RNArt: benchmarking current methods for RNA 3D structure prediction

 

RNAs are essential molecules involved in numerous biological functions. Understanding RNA functions requires the knowledge of their 3D structures.

Here we propose a review of recent advances in terms of RNA 3D structure prediction. It comes with a web server that shows the prediction of nine models on single-stranded RNAs of RNA-Puzzles.

We hope this review will help the user understanding what is at stake for RNA 3D structure predictions, as well as the state-of-the-art solutions.

 

References

How to cite State-of-the-RNArt
  • ClĂ©ment Bernard, Guillaume Postic, Sahar Ghannay, Fariza Tahi State-of-the-RNArt: benchmarking current methods for RNA 3D structure prediction NAR Genomics and Bioinformatics, Volume 6, Issue 2, June 2024, lqae048,
    https://doi.org/10.1093/nargab/lqae048
For any questions, comments or suggestions about this work, please feel free to contact: fariza.tahi@ibisc.univ-evry.fr