SEQ2FUN

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EZpred is a composite method combing structure, sequence, and deep learning-based approaches for prediction of enzyme functions in the form of Enzyme Commission (EC) number (Example output)

  • Query protein ([30,1500] residues in PDB format or FASTA format). Copy and paste your structure file here    Sample structure input   Sample sequence input

      Or upload the sequence or stucture file from your local computer
  • Email: (Though optional, an email address is highly recommended to ensure prompt notification of job status)
  • Job ID: (Optional, your given name for this protein)

    • Download:
  • Source code
  • Pretrained models
    • References:
    • Chengxin Zhang, Quancheng Liu, Lydia Freddolino (2025) EZpred: improving deep learning-based enzyme function prediction using unlabeled sequence homologs.