Signal Peptide Prediction
Tool Overview
This page integrates two signal peptide prediction models: SignalP 6.0 and USPNet. Both models run as background jobs. After submission, the page redirects to a job status view and refreshes automatically until prediction is complete.
Model Description
For SignalP6, please cite:
Teufel F, Almagro Armenteros JJ, Johansen AR, et al. SignalP 6.0 predicts all five types of signal peptides using protein language models. Nature Biotechnology, 2022. DOI: 10.1038/s41587-021-01156-3.
For USPNet, please cite:
Shen, J., Yu, Q., Chen, S. et al. Unbiased organism-agnostic and highly sensitive signal peptide predictor with deep protein language model. Nat Comput Sci 4, 29–42 (2024). https://doi.org/10.1038/s43588-023-00576-2
This page integrates two signal peptide prediction models: SignalP 6.0 and USPNet. Both models run as background jobs. After submission, the page redirects to a job status view and refreshes automatically until prediction is complete.
Model Description
- SignalP6: predicts N-terminal signal peptides and cleavage sites.
- USPNet: predicts signal peptides directly from raw FASTA sequences.
- Model: choose either SignalP6 or USPNet.
- Organism group: only applies to SignalP6. Choose eukarya for eukaryotic proteins. The default option other is suitable for non-eukaryotic or unknown sequences.
For SignalP6, please cite:
Teufel F, Almagro Armenteros JJ, Johansen AR, et al. SignalP 6.0 predicts all five types of signal peptides using protein language models. Nature Biotechnology, 2022. DOI: 10.1038/s41587-021-01156-3.
For USPNet, please cite:
Shen, J., Yu, Q., Chen, S. et al. Unbiased organism-agnostic and highly sensitive signal peptide predictor with deep protein language model. Nat Comput Sci 4, 29–42 (2024). https://doi.org/10.1038/s43588-023-00576-2
