Biochemical Journal · 2011 · 92 citations · 35 references
Life SciencesBiochemistryMolecular BiologyEnzymologyProtein BiochemistryStructural BiologyAntigen PresentationAntigen ProcessingEnzyme FunctionEnzyme-substrate RecognitionProteolytic EnzymesSubstrate SpecificityEnzyme-substrate InteractionsEnzyme-substrate SelectivityMhc Class I MoleculesPeptide EpitopesPeptide SelectionPeptide SpecificityProtease SelectivitySubstrate Selectivity
ERAP1 (endoplasmic reticulum aminopeptidase 1), ERAP2 and IRAP (insulin-regulated aminopeptidase) are three homologous enzymes that play critical roles in the generation of antigenic peptides. These aminopeptidases excise amino acids from N-terminally extended precursors of antigenic peptides in order to generate the correct length epitopes for binding on to MHC class I molecules. The specificity of these peptidases can affect antigenic peptide selection, but has not yet been investigated in detail. In the present study we utilized a collection of 82 fluorigenic substrates to define a detailed selectivity profile for each of the three enzymes and to probe structural and functional features of the S1 (primary specificity) pocket. Molecular modelling of the three S1 pockets reveals substrate-enzyme interactions that are critical determinants for specificity. The substrate selectivity profiles suggest that IRAP largely combines the S1 specificity of ERAP1 and ERAP2, consistent with its proposed biological function. IRAP, however, does not achieve this dual specificity by simply combining structural features of ERAP1 and ERAP2, but rather by an unique amino acid change at position 541. The results of the present study provide insights on antigenic peptide selection and may prove valuable in designing selective inhibitors or activity markers for this class of enzymes.
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VMD: Visual molecular dynamics
William Humphrey, Andrew Dalke, Klaus Schulten · Journal of Molecular Graphics · 1996 · 66.6K citations
The Amber biomolecular simulation programs
David A. Case, Thomas E. Cheatham, Tom Darden et al. · Journal of Computational Chemistry · 2005 · 9.6K citations · Full text