Non-immunized natural human heavy chain CDR3 repertoires allow the isolation of high affinity peptides mimicking a human influenza hemagglutinin epitope.

In this study we constructed two phage libraries displaying non-immunized natural human IgM derived HCDR3 repertoires. One library was structurally constrained by a Gly to Cys substitution at position 104 enabling the formation of a disulfide bridge with the Cys at position 92. Panning of these libraries on an anti-human influenza hemagglutinin (HA) antibody resulted in the selection of 16 different HCDR3 loops displaying different degrees of sequence homology with the HA epitope. The specificity of the HCDR3 loops recovered from the structurally constrained library was confirmed by competition assays using the HA epitope. Only one of these HCDR3 peptides contained Cys104. Structural analysis of these sequences revealed that the loss of Cys104 was associated with an increased preference for the formation of the type I beta-turn required for high affinity binding to the antibody. Affinity studies confirmed that the HCDR3 peptides containing the sequence YDVPDY and Gly104 had affinities in the nanomolar range (K(d)=7.6 nM) comparable to the HA epitope. These findings provided evidence that the recovered HCDR3 sequences may bind to their target in a conformation that is unreachable by the parental antibody from which the HCDR3 was derived. Furthermore, the isolation of target-specific and high affinity binders demonstrates the value of HCDR3 libraries as a source of 'biologically randomized' sequences of human origin for the identification of peptidic lead molecules.

Anchor profiles of HLA-specific peptides: analysis by a novel affinity scoring method and experimental validation.

The study of intermolecular interactions is a fundamental research subject in biology. Here we report on the development of a quantitative structure-based affinity scoring method for peptide-protein complexes, named PepScope. The method operates on the basis of a highly specific force field function (CHARMM) that is applied to all-atom structural representations of peptide-receptor complexes. Peptide side-chain contributions to total affinity are scored after detailed rotameric sampling followed by controlled energy refinement. A de novo approach to estimate dehydration energies was developed, based on the simulation of individual amino acids in a solvent box filled with explicit water molecules. Transferability of the method was demonstrated by its application to the hydrophobic HLA-A2 and -A24 receptors, the polar HLA-A1, and the sterically ruled HLA-B7 receptor. A combined theoretical and experimental study on 39 anchor substitutions in FxSKQYMTx/HLA-A2 and -A24 complexes indicated a prediction accuracy of about two thirds of a log-unit in Kd. Analysis of free energy contributions identified a great role of desolvation and conformational strain effects in establishing a given specificity profile. Interestingly, the method rightly predicted that most anchor profiles are less specific than so far assumed. This suggests that many potential T-cell epitopes could be missed with current prediction methods. The results presented in this work may therefore significantly affect T-cell epitope discovery programs applied in the field of peptide vaccine development.