ABSTRACT
Herein we describe the use of dynamic combinatorial chemistry to self-assemble complex coiled coil motifs. We amide-coupled a series of peptides designed to form homodimeric coiled coils with 3,5-dithiobenzoic acid (B) at the N-terminus and then allowed each B-peptide to undergo disulfide exchange. In the absence of peptide, monomer B forms cyclic trimers and tetramers, and thus we expected that addition of the peptide to monomer B would shift the equilibrium towards the tetramer to maximize coiled coil formation. Unexpectedly, we found that internal templation of the B-peptide through coiled coil formation shifts the equilibrium towards larger macrocycles up to 13 B-peptide subunits, with a preference for 4, 7, and 10-membered macrocycles. These macrocyclic assemblies display greater helicity and thermal stability relative to intermolecular coiled coil homodimer controls. The preference for large macrocycles is driven by the strength of the coiled coil, as increasing the coiled coil affinity increases the fraction of larger macrocycles. This system represents a new approach towards the development of complex peptide and protein assemblies.
ABSTRACT
Sensor arrays using synthetic receptors have found great utility in analyte detection, resulting from their ability to distinguish analytes based on differential signals via indicator displacement. However, synthesis and characterization of receptors for an array remain a bottleneck in the field. Receptor discovery has been streamlined using dynamic combinatorial libraries (DCLs), but the resulting receptors have primarily been utilized in isolation rather than as part of the entire library, with only a few examples that make use of the complexity of a library of receptors. Herein, we demonstrate a unique sensor array approach using "imprint-and-report" DCLs that obviates the need for receptor synthesis and isolation. This strategy leverages information stored in DCLs in the form of differential library speciation to provide a high-throughput method for both developing a sensor array and analyzing data for analyte differentiation. First, each DCL is templated with analyte to give an imprinted library, followed by in situ fluorescent indicator displacement analysis. We further demonstrate that the reverse strategy, imprinting with the fluorescent reporter followed by displacement with each analyte, provides a more sensitive method for differentiating analytes. We describe the development of this differential sensing system using the methylated Arg and Lys post-translational modifications (PTMs). Altogether, 19 combinations of 3-5 DCL data sets that discriminate all 7 PTMs were identified. Thus, a comparable sensor array workflow results in a larger payoff due to the immense information stored within multiple noncovalent networks.