Peptides mediate up to 40% of protein interactions, their high specificity and ability to bind in places where small molecules cannot make them potential drug candidates. However, predicting peptide–protein complexes remains more challenging than protein–protein or protein–small molecule interactions, in part due to the high flexibility peptides have. In this review, we look at the advances in docking, molecular simulations and machine learning to tackle problems related to peptides such as predicting structures, binding affinities or even kinetics. We specifically focus on explaining the number of docking programmes and force fields used in molecular simulations, so a prospective user can have an educated guess as to why choose one modelling tool or another to address their scientific questions.

The WW domain is an approximately 38 residue peptide-binding motif that binds a variety of sequences, including the consensus sequence xPPxY. We have displayed hYAP65 WW on the surface of M13 phage and randomized one-third of its three-stranded antiparallel β-sheet. Improved binding to the hydrophobic peptide, GTPPPPYTVG (WW1), was selected in the presence of three different concentrations of proteinase K to simultaneously drive selection for improved stability as well as high-affinity binding. While some of the selected binders show cooperative unfolding transitions, others show noncooperative thermal unfolding curves. Two novel WW consensus sequences have been identified, which bind to the xPPxY motif with higher affinity than the wild-type hYAP65 WW domain. These WW domain sequences are not precedented in any natural WW domain sequence. Thus, there appear to be a large number of motifs capable of recognizing the target peptide sequence, only a subset of which appear to be used in natural proteins.

Using a cross-linking approach, we recently demonstrated that radiolabeled peptides or misfolded proteins specifically interact in vitro with two luminal proteins in crude extracts from pancreas microsomes. The proteins were the folding catalysts protein disulfide isomerase (PDI) and PDIp, a glycosylated, PDI-related protein, expressed exclusively in the pancreas. In this study, we explore the specificity of these proteins in binding peptides and related ligands and show that tyrosine and tryptophan residues in peptides are the recognition motifs for their binding by PDIp. This peptide-binding specificity may reflect the selectivity of PDIp in binding regions of unfolded polypeptide during catalysis of protein folding.