Peptides are a promising class of therapeutic candidates due to their high specificity and affinity for cellular protein targets. However, peptides are susceptible to protease degradation and are typically not cell-permeable. In efforts to design more effective peptide drug discovery systems, investigators have discovered that incorporation of non-canonical amino acids (ncAAs) and macrocyclization overcome these limitations, making peptides more drug-like. In this work, we exploit the promiscuity of wild-type aminoacyl-tRNA synthetases (aaRSs) to ‘mischarge’ ncAAs onto tRNA and ribosomally incorporate them into peptides using a cell-free translation system. We have demonstrated the ability to incorporate five ncAAs into a single peptide with near-wild type yield and fidelity. We also demonstrated the in situ incorporation of ncAAs containing azide and alkyne functionalities, enabling the use of CuAAC (click chemistry) to generate triazole-bridged cyclic peptides. When combined with bisalkylation of peptides containing two cysteines via an α,α’-dibromo-m-xylene linker, we created bicyclic peptides which are structurally similar to the highly bioactive knotted peptide natural products. Biological display methods, such as mRNA display, are powerful peptide discovery tools based on their ability to generate libraries of >1014 unique peptides. We combined our ability to incorporate ncAAs with our bicyclization technique adapted for use with mRNA display to create knotted peptide library scaffolds. We performed side-by-side monocyclic and bicyclic in vitro selections against a model protein (streptavidin). Both selections resulted in peptides with mid-nM affinity, and the bicyclic selection yielded a peptide with remarkable protease resistance. We used a new library that enables the generation of a diverse collection of linear, monocyclic and bicyclic scaffolds in one pot, increasing the likelihood of target-ligand conformational alignment. We performed a second selection against streptavidin and revealed a nearly unanimous preference for linear peptides containing an HPQ motif, a known streptavidin-binding sequence. However, when we used these libraries for in vitro selection against a biological target, DNA repair protein XRCC4, we did not observe convergence. In summary, we have developed a novel technique for production of bicyclic peptide libraries. These highly-constrained protease-stable scaffolds can be used as platforms to identify high affinity, drug-like ligands using mRNA display.

<div><p>The cellular protein pool exists in a state of dynamic equilibrium, such that a balance between protein synthesis and degradation is maintained to sustain protein homeostasis. This equilibrium is essential for normal cellular functions and hence alteration in protein dynamics has several pathological implications in developing and adult tissues. Recent progress in mass spectrometry (MS) and metabolic labeling techniques has advanced our understanding of the mechanisms of protein regulation in cultured cells and less complicated multicellular organisms. However, methods for the analysis of the dynamics of intra- and extra-cellular proteins in embryonic and adult tissues remain lacking.</p><p>To address this gap, we developed a metabolic labeling technique that enables labeling the nascent murine proteome via injection of non-canonical amino acids (ncAAs), which can be selectively enriched by “clickable” tags for identification and quantification. Using this technique, we developed a MS-based method for the selective identification and quantification of the intra- and extra-cellular newly synthesized proteins in developing murine tissues. We then applied this technique to study the dynamic regulation of extracellular matrix (ECM) proteins during embryonic and adolescent musculoskeletal development. We show that the applied technique enables resolving differences in the nascent proteome of different developmental time points with high temporal resolution. The technique can also reveal protein dynamic information that cannot be captured by the traditional proteomic techniques. Additionally, we identified key ECM components that play roles in musculoskeletal development to provide insights into the mechanisms of musculoskeletal tissue regeneration.</p><p>To fully characterize our labeling technique, we developed a mathematical model to describe the biodistribution kinetics of azidohomoalanine (Aha), the most widely used ncAA, in murine tissues. The model enabled measuring the relative rates of protein synthesis and turnover in different tissues and predicting the effect of different dosing regimens of Aha on the degree of protein labeling. Finally, we analyzed the plasma metabolome of Aha-injected mice to investigate the impact of Aha incorporation on normal physiology. The analysis revealed that Aha administration into mice does not significantly perturb metabolic functions. Taken together, the findings presented in this dissertation demonstrate the utility of the ncAA labeling technique in mapping protein dynamics in mammalian tissues. This will ultimately have a significant impact on our understanding of protein regulation in health and disease. </p></div><br>

abstract: Proteins are, arguably, the most complicated molecular machines found in nature. From the receptor proteins that decorate the exterior of cell membranes to enzymes that catalyze the slowest of chemical reactions, proteins perform a wide variety of essential biological functions. A reductionist view of proteins as a macromolecular group, however, may hold that they simply interact with other chemical species. Notably, proteins interact with other proteins, other biological macromolecules, small molecules, and ions. This in turn makes proteins uniquely qualified for use technological use as sensors of said chemical species (biosensors). Several methods have been developed to convert proteins into biosensors. Many of these techniques take advantage of fluorescence spectroscopy because it is a fast, non-invasive, non-destructive and highly sensitive method that also allows for spatiotemporal control. This, however, requires that first a fluorophore be added to a target protein. Several methods for achieving this have been developed from large, genetically encoded autofluorescent protein tags, to labeling with small molecule fluorophores using bioorthogonal chemical handles, to genetically encoded fluorescent non-canonical amino acids (fNCAA). In recent years, the fNCAA, L-(7-hydroxycoumarin-4yl)ethylglycine (7-HCAA) has been used in to develop several types of biosensors. The dissertation I present here specifically addresses the use of the fNCAA L-(7-hydroxycoumarin-4-yl)ethylglycine (7-HCAA) in protein-based biosensors. I demonstrate 7-HCAA’s ability to act as a Förster resonance energy transfer (FRET) acceptor with tryptophan as the FRET donor in a single protein containing multiple tryptophans. I the describe efforts to elucidate—through both spectroscopic and structural characterization—interactions within a 7-HCAA containing protein that governs 7-HCAA fluorescence. Finally, I present a top-down computational design strategy for incorporating 7-HCAA into proteins that takes advantage of previously described interactions. These reports show the applicability of 7-HCAA and the wider class of fNCAAs as a whole for their use of rationally designed biosensors. / Dissertation/Thesis / Doctoral Dissertation Biochemistry 2020

G protein-coupled receptors (GPCRs) represent the largest membrane protein family and a significant target class for therapeutics. Receptors from GPCRs’ largest class, class A, influence virtually every aspect of human physiology. About 45% of the members of this family endogenously bind flexible peptides or peptides segments within larger protein ligands. While many of these peptides have been structurally characterized in their solution state, the few studies of peptides in their receptor-bound state suggest that these peptides interact with a shared set of residues and undergo significant conformational changes. For the purpose of understanding binding dynamics and the development of peptidomimetic drug compounds, further studies should investigate the peptide ligands that are complexed to their cognate receptor.

No description available.