Bioinformatics tools for identifying T-cell epitopes

摘要: Abstract Computer models usefully complement experimentation in the efficient discovery of MHC-binding peptides and T-cell epitopes, have been applied successfully to predict epitopes infectious disease, cancer, autoimmunity allergy. Prediction methods include binding motifs, quantitative matrices, various artificial intelligence techniques molecular modelling. Computational modelling should be performed according strict standards, requiring careful data selection for model building, followed by adequate testing validation. Many web-based databases prediction programs are now available. Although certain reasonably accurate, at least some MHC alleles, one cannot guarantee that all produce results predictivity therefore these used with care.