A new NMR method for the study of ligand-protein interactions exploits the unusual lifetimes of long-lived states (LLSs). The new method provides better contrast between bound and free ligands and requires a protein-ligand ratio ca. 25 times lower than for established T(1ρ) methods, thus saving on costly proteins. The new LLS method was applied to the screening of inhibitors of urokinase-type plasminogen activator (uPA), which is a prototypical target of cancer research. With only 10 μM protein, a dissociation constant (K(D)) of 180 ± 20 nM was determined for the strong ligand (inhibitor) UK-18, which can be compared with K(D) = 157 ± 39 nM determined by the established surface plasmon resonance method.

Bicyclic peptide ligands were found to have good binding affinity and target specificity. However, the method applied to generate bicyclic ligands based on phage-peptide alkylation is technically complex and limits its application to specialized laboratories. Herein, we report a method that involves a simpler and more robust procedure that additionally allows screening of structurally more diverse bicyclic peptide libraries. In brief, phage-encoded combinatorial peptide libraries of the format X(m)CX(n)CX(o)CX(p) are oxidized to connect two pairs of cysteines (C). This allows the generation of 3 × (m + n + o + p) different peptide topologies because the fourth cysteine can appear in any of the (m + n + o + p) randomized amino acid positions (X). Panning of such libraries enriched strongly peptides with four cysteines and yielded tight binders to protein targets. X-ray structure analysis revealed an important structural role of the disulfide bridges. In summary, the presented approach offers facile access to bicyclic peptide ligands with good binding affinities.

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Photoswitchable ligands are powerful tools to control biological processes at high spatial and temporal resolution. Unfortunately, such ligands exist only for a limited number of proteins and their development by rational design is not trivial. We have developed an in vitro evolution strategy to generate light-activatable peptide ligands to targets of choice. In brief, random peptides were encoded by phage display, chemically cyclized with an azobenzene linker, exposed to UV light to switch the azobenzene into cis conformation, and panned against the model target streptavidin. Isolated peptides shared strong consensus sequences, indicating target-specific binding. Several peptides bound with high affinity when cyclized with the azobenzene linker, and their affinity could be modulated by UV light. The presented method is robust and can be applied for the in vitro evolution of photoswitchable ligands to virtually any target.

High-throughput sequencing was previously applied to phage-selected peptides in order to gain insight into the abundance and diversity of isolated peptides. Herein we developed a procedure to efficiently compare the sequences of large numbers of phage-selected peptides for the purpose of identifying target-binding peptide motifs. We applied the procedure to analyze bicyclic peptides isolated against five different protein targets: sortase A, urokinase-type plasminogen activator, coagulation factor XII, plasma kallikrein and streptavidin. We optimized sequence data filters to reduce biases originating from the sequencing method and developed sequence correction algorithms to prevent identification of false consensus motifs. With our strategy, we were able to identify rare target-binding peptide motifs, as well as to define more precisely consensus sequences and sub-groups of consensus sequences. This information is valuable to choose peptide leads for drug development and it facilitates identification of epitopes. We furthermore show that binding motifs can be identified after a single round of phage selection. Such a selection regimen reduces propagation-related bias and may facilitate application of phage display in non-specialized laboratories, as procedures such as bacterial infection, phage propagation and purification are not required.