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Prediction of peptide-MHC binding using profiles.

Prediction of peptide-MHC binding using profiles. Research Abstract Details 

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  • Prediction of peptide-MHC binding using profiles. Abstract Text:

    Prediction of peptide binding to major histocompatibility complex (MHC) molecules is a basis for anticipating T-cell epitopes. Peptides that bind to a given MHC molecule are related by sequence similarity. Therefore, a position-specific scoring matrix (PSSM)---also known as profile--derived from a set of aligned peptides known to bind to a given MHC molecule can be used as a predictor of both peptide-MHC binding and T-cell epitopes. In this approach, the binding potential of any peptide sequence (query) to the MHC molecule is determined by its similarity to a set of known peptide-MHC binders and can be obtained by comparing the query to the PSSM. Following structural considerations of the peptide-MHC interaction, we will describe here how to derive alignments and PSSMs that are suitable for the prediction of peptide-MHC binding.

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    PUBMED ID PMID:

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    Prediction of peptide-MHC binding using profiles. Journal Published:

    PUBLICATION TYPE: Journal Article

    Journal: Methods in molecular biology (Clifton, N.J.)

    VOLUME: 409

    Page Numbers: 185-200

    Journal Abbreviation: Methods Mol. Biol.

    ISSN: 1064-3745

    DAY: 2

    MONTH: 05

    YEAR: 2007

    Prediction of peptide-MHC binding using profiles. Information

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    LANGUAGE: eng

    NlmUniqueID: 9214969

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    Grant and Affiliation Information for Prediction of peptide-MHC binding using profiles.

    AFFILIATION: Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA. parecheg@med.ucm.es

    Country: United States

    United States Research PublicationUnited States Research Publication

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    MEDLINETA: Methods Mol Biol

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