Synthesis, diversification and biomedical applications of 4,5-substitued N-aminoimidazol-2-ones
Bibliographic record
Abstract
In peptide-based medicinal chemistry, mimicry of turn conformations is important because of the significance of such secondary structures for molecular recognition. In this context, N-aminoimidazol-2-one (Nai) residues have demonstrated ability to mimic the central residue of turn conformers. Moreover, potential to functionalize the 4- and 5-positions of the Nai heterocycle offer opportunities to add and orient side chain functionalities with constrained c-geometry. Methods have been developed to employ Nai residues for peptide mimicry. Previously, Nai dipeptide esters with substituents at the imidazol-2-one 4-position were obtained as racemic mixtures. By employing alternative C-terminal groups, epimerization has now been minimized. Functionalization of the Nai 5-position after cyclization has also been achieved by novel chemistry. For example, (4-Me, 5-aldehyde)Nai residues were obtained by 5-position formylation. The aldehyde was then reduced and oxidized to provide alcohol and acid functionality. Reductive aminations on (4-Me, 5-aldehyde)Nai residues using different primary and secondary amines and amino methylation of (4-Me)Nai residues were also used to prepare constrained diaminobutyric acid analogs. In the interest to prepare Nai analogs that can serve as constrained phenylalanine residues, palladium-catalyzed chemistry was developed to cross-couple different aryl iodides at the 5-position. In model peptides, the (4-Me, 5-aryl)Nai residues were predicted by molecular dynamic calculations to be located at the i+1 position of type II’ β-turn conformations with the aryl side chain positioned in the gauche (–). The synthesis of biologically relevant Nai peptides was next explored using methods for accessing enantioenriched residues and conditions for their 5-position arylation. Peptide derivatives of growth hormone releasing peptide-6 (GHRP-6) were targeted using the Nai residues because the corresponding semicarbazide analogs had exhibited selective and relatively high binding affinity for the cluster of differentiation receptor (CD36) receptor and potential to mediate macrophage-driven inflammation in conditions leading to age-related macular degeneration, atherosclerosis and angiogenesis. Previous studies with GHRP-6 analogs demonstrated that replacement of Trp4 with a semicarbazide possessing an aromatic side chain favored a turn conformation and selective CD36 binding affinity. Solid-phase methodology was developed to synthesize [(4-Me, 5-Aryl)Nai4]-GHRP-6 analogs and used to prepare four different Nai peptides on Rink amide resin. All four analogs were effective at mediating nitric oxide (NO) overproduction in macrophages cells treated with a Toll-like receptor 2 (TLR2) agonist. Although biological evaluation of the [(4-Me,5-Aryl)Nai4]-GHRP-6 analogs is still being performed, their ability to modulate NO overproduction strongly indicated backbone and side chain conformational requirements for biological activity. In sum, this thesis has provided effective methods for preparing novel constrained peptide analogs for mimicry of the backbone and side chain geometry in β-turns. Enantiomerically enriched Nai residues were synthesized, introduced into peptide sequences, and functionalized at the 4- and 5-positions. Employment of the 4,5-disubstituted Nai analogs in the study of peptide medicinal chemistry offers powerful potential for exploring structure-activity relationships to identify and replicate biologically active conformers.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".