DeepUMQA: Improved model quality assessment



In this function, users can select PDB(necessary) files for protein model quality assessment.



References

  • Saisai Guo, Jun Liu, Xiaogen Zhou, Guijun Zhang*. DeepUMQA: Ultrafast Shape Recognition-based Protein Model Quality Assessment using Deep Learning. https://doi.org/10.1101/2021.10.02.462491

  • DeepUMQA news

    CAMEO-QE blind test performance:
  • In the 1-week blind test (2022-01-15) of CAMEO-QE, DeepUMQA ranked 2nd in the "All" dataset.
  • In the 1-week blind test (2022-01-08) of CAMEO-QE, DeepUMQA ranked 1st in the "All" dataset.
  • In the 1-week blind test (2022-01-01) of CAMEO-QE, DeepUMQA ranked 1st in the "All" dataset.
  • In the 1-week blind test (2021-12-25) of CAMEO-QE, DeepUMQA ranked 2nd in the "All" dataset.
  • In the 1-week blind test (2021-12-18) of CAMEO-QE, DeepUMQA ranked 2nd in the "All" dataset.
  • In the 1-week blind test (2021-12-11) of CAMEO-QE, DeepUMQA ranked 1st in the "All" dataset.
  • In the 1-week blind test (2021-12-04) of CAMEO-QE, DeepUMQA ranked 1st in the "Medium" dataset.
  • In the 1-week blind test (2021-11-27) of CAMEO-QE, DeepUMQA ranked 2nd in the "All" dataset.