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Predicting HLA class I non-permissive amino acid residues substitutions.


ABSTRACT: Prediction of peptide binding to human leukocyte antigen (HLA) molecules is essential to a wide range of clinical entities from vaccine design to stem cell transplant compatibility. Here we present a new structure-based methodology that applies robust computational tools to model peptide-HLA (p-HLA) binding interactions. The method leverages the structural conservation observed in p-HLA complexes to significantly reduce the search space and calculate the system's binding free energy. This approach is benchmarked against existing p-HLA complexes and the prediction performance is measured against a library of experimentally validated peptides. The effect on binding activity across a large set of high-affinity peptides is used to investigate amino acid mismatches reported as high-risk factors in hematopoietic stem cell transplantation.

SUBMITTER: Binkowski TA 

PROVIDER: S-EPMC3414483 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature

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Predicting HLA class I non-permissive amino acid residues substitutions.

Binkowski T Andrew TA   Marino Susana R SR   Joachimiak Andrzej A  

PloS one 20120808 8


Prediction of peptide binding to human leukocyte antigen (HLA) molecules is essential to a wide range of clinical entities from vaccine design to stem cell transplant compatibility. Here we present a new structure-based methodology that applies robust computational tools to model peptide-HLA (p-HLA) binding interactions. The method leverages the structural conservation observed in p-HLA complexes to significantly reduce the search space and calculate the system's binding free energy. This approa  ...[more]

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