Assembly of high-affinity insulin receptor agonists and antagonists from peptide building blocks.

Insulin is thought to elicit its effects by crosslinking the two extracellular alpha-subunits of its receptor, thereby inducing a conformational change in the receptor, which activates the intracellular tyrosine kinase signaling cascade. Previously we identified a series of peptides binding to two discrete hotspots on the insulin receptor. Here we show that covalent linkage of such peptides into homodimers or heterodimers results in insulin agonists or antagonists, depending on how the peptides are linked. An optimized agonist has been shown, both in vitro and in vivo, to have a potency close to that of insulin itself. The ability to construct such peptide derivatives may offer a path for developing agonists or antagonists for treatment of a wide variety of diseases.

Peptides identify multiple hotspots within the ligand binding domain of the TNF receptor 2.

BACKGROUND: Hotspots are defined as the minimal functional domains involved in protein:protein interactions and sufficient to induce a biological response. RESULTS: Here we describe the use of complex and high diversity phage display libraries to isolate peptides (called Hotspot Ligands or HSPLs) which sub-divide the ligand binding domain of the tumor necrosis factor receptor 2 (TNFR2; p75) into multiple hotspots. We have shown that these libraries could generate HSPLs which not only subdivide hotspots on protein and non-protein targets but act as agonists or antagonists. Using this approach, we generated peptides which were specific for human TNFR2, could be competed by the natural ligands, TNFalpha and TNFbeta and induced an unexpected biological response in a TNFR2-specific manner. CONCLUSIONS: To our knowledge, this is the first report describing the dissection of the TNFR2 into biologically active hotspots with the concomitant identification of a novel and unexpected biological activity.

Peptides identify the critical hotspots involved in the biological activation of the insulin receptor.

We used phage display to generate surrogate peptides that define the hotspots involved in protein-protein interaction between insulin and the insulin receptor. All of the peptides competed for insulin binding and had affinity constants in the high nanomolar to low micromolar range. Based on competition studies, peptides were grouped into non-overlapping Sites 1, 2, or 3. Some Site 1 peptides were able to activate the tyrosine kinase activity of the insulin receptor and act as agonists in the insulin-dependent fat cell assay, suggesting that Site 1 marks the hotspot involved in insulin-induced activation of the insulin receptor. On the other hand, Site 2 and 3 peptides were found to act as antagonists in the phosphorylation and fat cell assays. These data show that a peptide display can be used to define the molecular architecture of a receptor and to identify the critical regions required for biological activity in a site-directed manner.