|
URL:
|
http://antigen.i2r.a-star.edu.sg/multipred/
|
|
What you can do:
|
Predict peptide binding to multiple molecules (proteins) belonging to human leukocyte antigens (HLA) class I A2, A3 and class II DR supertypes.
|
|
Highlights:
|
- The MULTIPRED server uses hidden Markov models and artificial neural network methods as predictive engines.
- A novel data representation method enables MULTIPRED to predict peptides that promiscuously bind multiple HLA alleles within one HLA supertype.
- Extensive testing was performed for validation of the prediction models. Testing results show that MULTIPRED is both sensitive and specific and it has good predictive ability (area under the receiver operating characteristic curve A(ROC) > 0.80).
- MULTIPRED can be used for the mapping of promiscuous T-cell epitopes as well as the regions of high concentration of these targets--termed T-cell epitope hotspots.
|
|
Keywords:
|
- T-cell epitopes
- T-cell epitopes mapping tool
- T-Lymphocyte Epitopes
- human leukocyte antigens
- HLA antigens
- HLA-A antigens
- HLA-DR antigens
- HLA binding
- HLA binding prediction tool
- human immunology
|
|
Literature and Tutorials:
|
PubMed Link: MULTIPRED -- a computational system for prediction of promiscuous HLA binding peptides
|
