Prediction
PepFuncML: A one-stop and comprehensive platform for small sample prediction of peptide efficacy and machine learning model construction.
Privacy Policy & Terms of Use
Users retain all rights to their submitted sequences. PepFuncML does not claim ownership of any data submitted through this platform.
- Submitted sequences are used exclusively to perform the prediction or model training task you requested.
- Without your explicit consent, sequences will not be used for model retraining, benchmarking, or any other secondary purposes.
- Temporary input and cached files are deleted immediately after task completion and are not retained as part of any permanent platform dataset.
- Sequence contents are not recorded in application logs.
- All data are transmitted over HTTP.
For full details on data processing, deletion practices, and confidentiality obligations, please refer to the Privacy Policy published on this platform.
- By submitting sequences to this platform, you confirm that you have the right and permission to share those sequences.
- You are responsible for ensuring that any proprietary or unpublished sequences you upload do not violate third-party rights or applicable publication policies.
- PepFuncML provides computational results for reference purposes only; results should not be used as the sole basis for clinical, therapeutic, or commercial decisions without further expert validation.
- The platform operators reserve the right to reject submissions that violate applicable laws or these terms.
- Users must comply with the Terms of Use published on this platform.