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Serum-Stable and Selective Backbone-N-Methylated Cyclic Peptides That Inhibit Prokaryotic Glycolytic Mutases.

ABSTRACT: N-Methylated amino acids (N-MeAAs) are privileged residues of naturally occurring peptides critical to bioactivity. However, de novo discovery from ribosome display is limited by poor incorporation of N-methylated amino acids into the nascent peptide chain attributed to a poor EF-Tu affinity for the N-methyl-aminoacyl-tRNA. By reconfiguring the tRNA's T-stem region to compensate and tune the EF-Tu affinity, we conducted Random nonstandard Peptides Integrated Discovery (RaPID) display of a macrocyclic peptide (MCP) library containing six different N-MeAAs. We have here devised a "pool-and-split" enrichment strategy using the RaPID display and identified N-methylated MCPs against three species of prokaryotic metal-ion-dependent phosphoglycerate mutases. The enriched MCPs reached 57% N-methylation with up to three consecutively incorporated N-MeAAs, rivaling natural products. Potent nanomolar inhibitors ranging in ortholog selectivity, strongly mediated by N-methylation, were identified. Co-crystal structures reveal an architecturally related Ce-2 Ipglycermide active-site metal-ion-coordinating Cys lariat MCP, functionally dependent on two cis N-MeAAs with broadened iPGM species selectivity over the original nematode-selective MCPs. Furthermore, the isolation of a novel metal-ion-independent Staphylococcus aureus iPGM inhibitor utilizing a phosphoglycerate mimetic mechanism illustrates the diversity of possible chemotypes encoded by the N-MeAA MCP library.

SUBMITTER: van Neer RHP

PROVIDER: S-EPMC9900472 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature

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Serum-Stable and Selective Backbone-N-Methylated Cyclic Peptides That Inhibit Prokaryotic Glycolytic Mutases.

van Neer R H P RHP Dranchak P K PK Liu L L Aitha M M Queme B B Kimura H H Katoh T T Battaile K P KP Lovell S S Inglese J J Suga H H

ACS chemical biology 20220729 8

N-Methylated amino acids (N-MeAAs) are privileged residues of naturally occurring peptides critical to bioactivity. However, de novo discovery from ribosome display is limited by poor incorporation of N-methylated amino acids into the nascent peptide chain attributed to a poor EF-Tu affinity for the N-methyl-aminoacyl-tRNA. By reconfiguring the tRNA's T-stem region to compensate and tune the EF-Tu affinity, we conducted Random nonstandard Peptides Integrated Di ...[more]

PMID: 35904259

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Project description:Cyclization is commonly employed in efforts to improve the target binding affinity of peptide-based probes and therapeutics. Many structural motifs have been identified at protein-protein interfaces and provide promising targets for inhibitor design using cyclic peptides. Cyclized peptides are generally assumed to be rigidified relative to their linear counterparts. This rigidification potentially pre-organizes the molecules to interact properly with their targets. However, the actual impact of cyclization on, for example, peptide configurational entropy, is currently poorly understood in terms of both its magnitude and molecular-level origins. Moreover, even with thousands of desired structural motifs at hand, it is currently not possible to a priori identify the ones that are most promising to mimic using cyclic peptides nor to select the ideal linker length. Instead, labor-intensive chemical synthesis and experimental characterization of various cyclic peptide designs are required, in hopes of finding one with improved target affinity. Herein, using molecular dynamics simulations of polyglycines, we elucidated how head-to-tail cyclization impacts peptide backbone dihedral entropy and developed a simple strategy to rapidly screen for structures that can be reliably mimicked by preorganized cyclic peptides. As expected, cyclization generally led to a reduction in backbone dihedral entropy; notably, however, this effect was minimal when the length of polyglycines was >9 residues. We also found that the reduction in backbone dihedral entropy upon cyclization of small polyglycine peptides does not result from more restricted distributions of the dihedrals; rather, it was the correlations between specific dihedrals that caused the decrease in configurational entropy in the cyclic peptides. Using our comprehensive cyclo-Gn structural ensembles, we obtained a holistic picture of what conformations are accessible to cyclic peptides. Using "hot loops" recently identified at protein-protein interfaces as an example, we provide clear guidelines for choosing the "easiest" hot loops for cyclic peptides to mimic and for identifying appropriate cyclic peptide lengths. In conclusion, our results provide an understanding of the thermodynamics and structures of this interesting class of molecules. This information should prove particularly useful for designing cyclic peptide inhibitors of protein-protein interactions.

Dataset Information

Serum-Stable and Selective Backbone-N-Methylated Cyclic Peptides That Inhibit Prokaryotic Glycolytic Mutases.

Publications

Serum-Stable and Selective Backbone-N-Methylated Cyclic Peptides That Inhibit Prokaryotic Glycolytic Mutases.

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