The SH3 Domains of Endophilin and Amphiphysin Bind to the Proline-rich Region of Synaptojanin 1 at Distinct Sites That Display an Unconventional Binding Specificity

The proline-rich domain of synaptojanin 1, a synaptic protein with phosphatidylinositol phosphatase activity, binds to amphiphysin and to a family of recently discovered proteins known as the SH3p4/8/13, the SH3-GL, or the endophilin family. These interactions are mediated by SH3 domains and are believed to play a regulatory role in synaptic vesicle recycling. We have precisely mapped the target peptides on human synaptojanin that are recognized by the SH3 domains of endophilins and amphiphysin and proven that they are distinct. By a combination of different approaches, selection of phage displayed peptide libraries, substitution analyses of peptides synthesized on cellulose membranes, and a peptide scan spanning a 252-residue long synaptojanin fragment, we have concluded that amphiphysin binds to two sites, PIRPSR and PTIPPR, whereas endophilin has a distinct preferred binding site, PKRPPPPR. The comparison of the results obtained by phage display and substitution analysis permitted the identification of proline and arginine at positions 4 and 6 in the PIRPSR and PTIPPR target sequence as the major determinants of the recognition specificity mediated by the SH3 domain of amphiphysin 1. More complex is the structural rationalization of the preferred endophilin ligands where SH3 binding cannot be easily interpreted in the framework of the "classical" type I or type II SH3 binding models. Our results suggest that the binding repertoire of SH3 domains may be more complex than originally predicted

Evolutionary transition pathways for changing peptide ligand specificity and structure

We identified evolutionary pathways for the inter- conversion of three sequentially and structurally unrelated peptides, GATPEDLNQKL, GLYEWGGARI and FDKEWNLIEQN, binding to the same site of the hypervariable region of the anti-p24 (HIV-1) monoclonal antibody CB4-1. Conversion of these peptides into each other could be achieved in nine or 10 single amino acid substitution steps without loss of antibody binding. Such pathways were identified by analyzing all 7 620 480 pathways connecting 2560 different peptides, and testing them for CB4-1 binding. The binding modes of intermediate peptides of selected optimal pathways were characterized using complete sets of substitution analogs, revealing that a number of sequential substitutions accumulated without changing the pattern of key interacting residues. At a distinct step, however, one single amino acid exchange induces a sudden change in the binding mode, indicating a flip in specificity and conformation. Our data represent a model of how different specificities, structures and functions might evolve in protein–protein recognition

Spot peptide arrays and SPR measurements: throughput and quantification in antibody selectivity studies.

International audienceAntibody selectivity represents a major issue in the development of efficient immuno-therapeutics and detection assays. Its description requires a comparison of the affinities of the antibody for a significant number of antigen variants. In the case of peptide antigens, this task can now be addressed to a significant level of details owing to improvements in spot peptide array technologies. They allow the high-throughput mutational analysis of peptides with, depending on assay design, an evaluation of binding stabilities. Here, we examine the cross-reactive capacity of an antibody fragment using the PEPperCHIP(®) technology platform (PEPperPRINT GmbH, Heidelberg, Germany; >8800 peptides per microarray) combined with the surface plasmon resonance characterization (Biacore(®) technology; GE-Healthcare Biacore, Uppsala, Sweden) of a subset of interactions. ScFv1F4 recognizes the N-terminal end of oncoprotein E6 of human papilloma virus 16. The spot permutation analysis (i.e. each position substituted by all amino acids except cysteine) of the wild type decapeptide (sequence (6) TAMFQDPQER(15) ) and of 15 variants thereof defined the optimal epitope and provided a ranking for variant recognition. The SPR affinity measurements mostly validated the ranking of complex stabilities deduced from array data and defined the sensitivity of spot fluorescence intensities, bringing further insight into the conditions for cross-reactivity. Our data demonstrate the importance of throughput and quantification in the assessment of antibody selectivity. Copyright © 2015 John Wiley & Sons, Ltd