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| Please visit this link to fill the survey form (questionnaire) designed to investigate user experience for AbCPE: Form |
AbCPE web server implements a multi-label classification algorithm that predicts antibody class(es) for epitopes. This data driven machine learning based algorithm offers prediction of epitopes potentially recognised by an individual or multiple classes of antibodies viz. IgG, IgE, IgA and IgM (excluding IgD).
Antibody class prediction for epitope/s:
- Input B-cell epitope/peptide sequence/s (experimentally validated or predicted) in plain text format
- Epitope/peptide sequence length must be between 5-50 residues
- Enter each epitope/peptide sequence on a new line
OR
Upload file containing epitope/peptide sequence/s (Refer to the Sample file provided below for input file format):
If you use AbCPE server, please cite the paper: Kadam K, Peerzada N, Karbhal R, Sawant S, Valadi J and Kulkarni-Kale U. (2021) Antibody Class(es) Predictor for Epitopes (AbCPE): A Multi-Label Classification Algorithm. Front. Bioinform. 1:709951. doi: 10.3389/fbinf.2021.709951