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  • Title: MHCPred: bringing a quantitative dimension to the online prediction of MHC binding.
    Author: Guan P, Doytchinova IA, Zygouri C, Flower DR.
    Journal: Appl Bioinformatics; 2003; 2(1):63-6. PubMed ID: 15130834.
    Abstract:
    The accurate prediction of T cell epitopes is one of the key aspirations of immunoinformatics. We have developed a partial least squares-based, robust multivariate statistical method for the quantitative prediction of peptide binding to major histocompatibility complexes (MHCs), the principal checkpoint on the antigen presentation pathway. As a service to the immunobiology community, we have made a Perl implementation of the method available as a World Wide Web server.
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