DTU Health Tech

Department of Health Technology

NetAllergen - 1.0

Protein allergenicity prediction

The NetAllergen-1.0 server predicts protein allergenicity integrating MHC class II presentation propensity.

Submission


Paste in sequence data (maximum 100 sequences)

or upload sequence data


All sequences must be submitted in amino acid fasta file format.
Valid format examples: example.fa
Classification threshold:
Use BLAST to improve prediction.

CITATIONS

For publication of results, please cite:
NetAllergen, a random forest model integrating MHC-II presentation propensity for improved allergenicity prediction
Yuchen Li, Peter Wad Sackett, Morten Nielsen, Carolina Barra
Published: 16 October 2023, Bioinformatics Advances, vbad151, https://doi.org/10.1093/bioadv/vbad151



GETTING HELP

If you need help regarding technical issues (e.g. errors or missing results) contact Technical Support. Please include the name of the service and version (e.g. NetPhos-4.0) and the options you have selected. If the error occurs after the job has started running, please include the JOB ID (the long code that you see while the job is running).

If you have scientific questions (e.g. how the method works or how to interpret results), contact Correspondence.

Correspondence: Carolina Barra Quaglia Technical Support: Carolina Barra Quaglia