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HPmod

HPmod (Human Proteome Model) database is a repository for human protein structure and function that automatically predicted by the state-of-the-art algorithm from Yang Zhang Lab. Protein structure models are predicted by D-I-TASSER, and the protein functions, including Gene Ontology (GO), Enzyme Commission (EC), and ligand-binding sites, are predicted by COFACTOR. The database contains 19,512 proteins collected from Uniprot, which can be classified as 12,236 single-domain proteins and 7,276 multi-domain proteins. (>>more about the HPmod database)

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HPmod News

The current database contains 19,512 entries.

May 1, 2023: 19,512 models for proteins of human proteome are generated by full D-I-TASSER modeling. The spatial restraints prediction is created by AlphaFold2, AttentionPotential and DeepPotential with MSA created by DeepMSA2, and initial conformations are from LOMETS3 templates, then a Replica-Exchange Montre Carlo (REMC) simulation is used for constructing 5 models. Multi-domain protein is handling by a new developed domain dealing module, where the full-length sequence is first spilt by FUpred and ThreaDom to domain-level sequences, individual domain-level spatial restraints are predicted by AlphaFold2, AttentionPotential and DeepPotential again, then combined to full-length-level spatial restraints. The full-length D-I-TASSER model is created by REMC simulation guided by the predicted spatial restraints. In addition, 34,968 domain-level models are also created by D-I-TASSER. The function prediction for each full-length and domain-level D-I-TASSER model is adopted by COFACTOR.

References

  • Wei Zheng, Qiqige Wuyun, Yang Li, Quancheng Liu, Xiaogen Zhou, Yiheng Zhu, P. Lydia Freddolino, Yang Zhang. Integrating deep learning potentials with I-TASSER for single- and multi-domain protein structure prediction. Submitted. 2023
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