This is a comprehensive method for prediction of MHC binding peptides or CTL epitopes of 67 MHC alleles.The prediction for 30 alleles is based on the hybrid appoarch of Artificial Neural Networks (ANNs) and Quantitative Matrices (QM). The prediction for rest 37 MHC alleles is based on the quantiatative matrices.The predicted MHC binders are filtered to potentail CTL epitopes by refining through Proteasomal matrices.

The prediction is based on Artificial Neural Networks (ANNs) for 30 MHC alleles.The feed-forward backpropogation type of ANNs is able to handle the non linearity of data very well so it is very useful for MHC binders prediction. The ANNs is able to classify the data of more accuratly as compared to motifs and weight matrices.The predicted MHC binders are filtered to potentail CTL epitopes by refining through Proteasomal matrices.