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.
MeSH terms
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Algorithms
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Antigen Presentation
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Binding Sites
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Computer Simulation
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Epitopes, T-Lymphocyte / chemistry
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Epitopes, T-Lymphocyte / immunology
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Histocompatibility Antigens / chemistry*
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Histocompatibility Antigens / immunology
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Internet*
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Major Histocompatibility Complex*
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Models, Chemical
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Models, Molecular
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Online Systems
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Peptides / chemistry*
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Peptides / immunology
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Protein Binding
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Sequence Analysis, Protein / methods*
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Software*
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User-Computer Interface*
Substances
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Epitopes, T-Lymphocyte
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Histocompatibility Antigens
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Peptides