NetCTL - Prediction of CTL epitopes in protein sequences
NetCTL 1.2 server predicts CTL epitopes in protein sequences. The method integrates prediction of peptide MHC class I binding, proteasomal C terminal cleavage and TAP transport efficiency. The server allows for predictions of CTL epitopes restricted to 12 MHC class I supertype. MHC class I binding and proteasomal cleavage is performed using artificial neural networks. TAP transport efficiency is predictied using weight matrix. The method is described in detail in the following article:
Current version: (1.2)
Large-scale validation of methods for cytotoxic T-lymphocyte epitope prediction.
Larsen MV, Lundegaard C, Lamberth K, Buus S, Lund O, Nielsen M.
BMC Bioinformatics. Oct 31;8:424. 2007
An integrative approach to CTL epitope prediction. A combined algorithm integrating MHC-I binding, TAP transport efficiency, and proteasomal cleavage predictions.
Larsen MV, Lundegaard C, Kasper Lamberth, Buus S. Brunak S, Lund O, and Nielsen M.
European Journal of Immunology 35(8): 2295-303, 2005
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