Robust Quantitative Modeling of Peptide Binding Affinities for MHC Molecules Using Physical-Chemical Descriptors

Author(s): Ovidiu Ivanciuc, Werner Braun.

Journal Name: Protein & Peptide Letters

Volume 14 , Issue 9 , 2007

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Major histocompatibility complex (MHC) molecules bind short peptides resulting from intracellular processing of foreign and self proteins, and present them on the cell surface for recognition by T-cell receptors. We propose a new robust approach to quantitatively model the binding affinities of MHC molecules by quantitative structure-activity relationships (QSAR) that use the physical-chemical amino acid descriptors E1-E5. These QSAR models are robust, sequencebased, and can be used as a fast and reliable filter to predict the MHC binding affinity for large protein databases.

Keywords: Major histocompatibility complex, peptide binding affinity, quantitative structure-activity relationships, amino acid descriptors

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Article Details

Year: 2007
Page: [903 - 916]
Pages: 14
DOI: 10.2174/092986607782110257
Price: $65

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