trRosetta News

  • 03/04/2021, trRosetta predicts protein structures for every protein family in the Pfam database.
  • 12/06/2020, trRosetta-based methods (BAKER, BAKER-ROSETTASERVER, Yang-Server) were assessed in the 14th CASP experiment. The BAKER group was ranked as the second Human group after AlphaFold2; while the BAKER-ROSETTASERVER was ranked as the fourth Server group. The Yang-Server from our lab was ranked among the top 10 Server groups. The major difference between BAKER-ROSETTASERVER and Yang-Server is the former applied an additional step of large-scale refinement on the trRosetta models.
  • 11/23/2020, An automated template detection was included to improve the modeling accuracy for easy targets.
  • 11/23/2020, A new deep neural network was used, which is about 3% more accurate than the previous version.
  • 09/25/2020, A script 'pdb2npz.py' included to calculate and visualize the interresidue distance and orientation from the input of a PDB structure.
  • 08/27/2020, A script 'top_prob.py' the average probablity of the top L predicted long+medium range contacts.
  • 07/22/2020, As requested by many users, a new script (npz_2_dist.py) was included in the trRosetta package to convert the distance distribution into distance and contact maps.
  • 06/08/2020, Automated MSA selection was included in the server to improve the accuracy by 2-5%.
  • 04/03/2020, The trRosetta structure models for 10 SARS-CoV-2 proteins that do not have homologous templates in PDB were released at: SARS-2-CoV.
  • 03/04/2020, The trRosetta paper was selected as research highlights by Nature Methods, and recommended in F1000Prime
  • 01/09/2020, The server script was improved to speed up the prediction. It is about two times faster than before. The maximum number of jobs allowed by each user is increased from 5 to 10.
  • 01/02/2020, The trRosetta paper was published online at PNAS.
  • 11/28/2019: The trRosetta paper was accepted to PNAS. Congratulations!
  • 08/01/2019: The trRosetta server was established.