Overlapping synthetic peptides as a tool to map protein-protein interactions ̶ FSH as a model system of nonadditive interactions.

In earlier work, we used partially overlapped synthetic peptides as a tool to find regions of interaction between the human FSH hormone and its receptor, aiming to find possible antagonists or agonists. Years later, the FSH and FSH receptor 3D structures were reported by other laboratories. The 3D results were in close agreement with the interacting regions predicted by using synthetic peptides. These earlier studies are reviewed here, and the predicted regions of interaction compared to the FSH and FSH receptor 3D structures to illustrate the usefulness of the synthetic peptide strategy to find binding regions. Different contact regions contribute multiplicatively to the high affinity of the entire ligand; thus, peptides covering a fraction of the anchor sites and with low free energy density cannot reach the affinity of the entire molecule. The earlier use of multiple linear regression to find the relevant predictors for effective binding, and a new way to estimate ΔG° and nonadditive interactions for the synthetic peptides in solution, by using the buried surface area (BSA), will be discussed.