Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.567324
Title: Theoretical prediction of the interaction between peptides and major histocompatibility Complex II Receptor
Author: Aldulaijan, Sarah
Awarding Body: Cardiff University
Current Institution: Cardiff University
Date of Award: 2012
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Abstract:
Ab initio, density functional (DFT), semi-empirical and force field methods are used to predict non-covalent interactions between peptides and major histocompatibility complex (MHC) class II receptors. Two ab initio methods are shown to be in good agreement for pairwise interaction of amino-acids for myelin basic protein (MBP)- MHC II complex. These data are then used to benchmark more approximate DFT and semi-empirical approaches, which are shown to be significantly in error. However, in some cases significant improvement is apparent on inclusion of an empirical dispersion correction. Most promising among these cases is RM1 with the dispersion correction. This approach is used to predict binding for progressively larger model systems, up to binding of the peptide with the entire MHC receptor, and is then applied to snapshots taken from molecular dynamics simulation. These methods were then compared to literature values of IC50 as a benchmark for three datasets, two sets of IC50 data for closely structurally related peptides based on hen egg lysozyme (HEL) and myelin basic protein (MBP) and more diverse set of 22 peptides bound to HLA-DR1. The set of 22 peptides bound to HLA-DR1 provides a tougher test of such methods, especially since no crystal structure is available for these peptide-MHC complexes. We therefore use sequence based methods such as SYFPEITHI and SVMHC to generate possible binding poses, using a consensus approach to determine the most likely anchor residues, which are then mapped onto the crystal structure of an unrelated peptide bound to the same receptor. This shows that methods based on molecular mechanics and semi-empirical quantum mechanics can predict binding with reasonable accuracy, as long as a suitable method for estimation of solvation effects is included. The analysis also shows that the MM/GBVI method performs particularly well, as does the AMBER94 forcefield with Born solvation. Indeed, MM/GBVI can be used as an alternative to sequence based methods in generating binding poses, leading to still better accuracy. Finally, we investigated the influence of motion in implicit and explicit solvents for a set of 22 peptides. Binding free energies were calculated by Molecular Mechanics Generalized -Born Surface Area (MM/GBSA) method, but it was found that the results are worse than MM/GBVI on MOE, which show that the MM/GBVI approach can deliver reasonable predictions of peptide-MHC binding in a matter of a few seconds on a desktop computer.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.567324  DOI: Not available
Keywords: QD Chemistry
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