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

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

Volume: 14 Issue: 9

Author(s): Ovidiu Ivanciuc and Werner Braun

Affiliation:

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

Abstract: 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.

Cite this article as:

Ivanciuc Ovidiu and Braun Werner, Robust Quantitative Modeling of Peptide Binding Affinities for MHC Molecules Using Physical-Chemical Descriptors, Protein & Peptide Letters 2007; 14 (9) . https://dx.doi.org/10.2174/092986607782110257