trRosetta

Introduction

trRosetta is an algortihm for fast and accurate de novo protein structure prediction. It builds the protein structure based on direct energy minimizations with a restrained Rosetta. The restraints include inter-residue distance and orientation distributions, predicted by a deep residual nerual network. In benchmark tests on CASP13 and CAMEO derived sets, trRosetta outperforms all previously described methods. Read more about trRosetta...

The major results returned include:

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  • Provide the protein data (mandatory)
  • Input protein sequence below in FASTA format: (Click for an example input)
    Or upload the protein squence file:


  • Other information (optional)
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    Target name: (Optional, your given name to this target)


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    Reference

  • J Yang, I Anishchenko, H Park, Z Peng, S Ovchinnikov, D Baker, Improved protein structure prediction using predicted interresidue orientations, PNAS, 117: 1496-1503 (2020).