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DMFold results for DMF179954460

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 Input Sequence in FASTA format
  Multiple Sequence Alignments
 Predicted Contact and Distance Map
 Top 5 final models from DMFold

 Proteins with similar structure
 Predicted Gene Ontology (GO) Terms
 Predicted Enzyme Commission (EC) Numbers
 Predicted Ligand Binding Sites

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References:
1.Wei Zheng, Quancheng Liu, Qiqige Wuyun, P. Lydia Freddolino, Yang Zhang. DMFold: A deep learning platform for protein complex structure and function predictions based on DeepMSA2. In preparation.
2.Wei Zheng, Qiqige Wuyun, Yang Li, Chengxin Zhang, P Lydia Freddolino, Yang Zhang. Improving deep learning protein monomer and complex structure prediction using DeepMSA2 with huge metagenomics data. Nature Methods, in press (2023).
3.Wei Zheng, Qiqige Wuyun, Peter L Freddolino, Yang Zhang. Integrating deep learning, threading alignments, and a multi-MSA strategy for high-quality protein monomer and complex structure prediction in CASP15. 1-20. doi:10.1002/prot.26585. Proteins. (2023).