trRosettaRNA

Introduction

trRosettaRNA is an algorithm for automated prediction of RNA 3D structure. It builds the RNA structure by Rosetta energy minimization, with deep learning restraints from a transformer network (RNAformer). trRosettaRNA has been validated in blind tests, including CASP15 and RNA-Puzzles, which suggests that that the automated predictions by trRosettaRNA are competitive to the predictions by the top human groups on natural RNAs. It was applied to predict confident structure models for 263 Rfam families that do not have known structures. Read more about trRosettaRNA...

The major results include (click here for an example):

Submit
  • Provide the RNA data (mandatory)
    •
    Input a RNA sequence (Click for an example input) or a multiple sequence alignment (MSA) (Click for an example input) below.
    Or upload the RNA sequence/MSA file:

    Input type: (Click for explanation)



  • Other information (optional)
    • Email: (Optional, where the results will be sent to)

    Target name: (Optional, your given name to this target)


    Keep my results private (check this box if you want to keep your job private. A key will be assigned for you to access the results)


    News

  • 02/03/2024, The standalone packages have been enhanced to support custom secondary structure files as input.
  • 10/13/2023, The trRosettaRNA paper was accepted for publication by Nature Communications.
  • 10/25/2022, The trRosettaRNA server was established.
    ( >> read more ... ).

    Reference

  • Wang et al, trRosettaRNA: automated prediction of RNA 3D structure with transformer network, Nature Communications, 14: 7266 (2023). (PDF)