Exploration of the Structural and Mechanical Properties of Novel Disulfide and Diselenide-containing Peptide Gels
Bibliographic record
Abstract
Peptide gels have gained large attraction for their biocompatibility, biodegradability, and non-immunogenicity. Within living organisms, an important component that plays a role in signalling pathways and chemical reactions are diselenides and disulfides. Herein, two novel peptide conjugates – Boc-Phe-Phe-Cys-Cys-Phe-Phe-Boc and Boc-Phe-Phe-Se-Se-Phe-Phe-Boc – and their gelation has been investigated. These conjugates have been fully characterized using mass spectrometry, one dimensional 1H nuclear magnetic resonance spectroscopy, and Fourier transform infrared spectroscopy. Successful gelation of the conjugates has been reported as well. Strong intermolecular hydrogen bonds link nearby amide and carboxyl groups, pi-pi stacking interactions for aromatic rings, and hydrogen bonding between water molecules assist in the self-assembly of the gelator molecules to form solid organogel upon dissolution in toluene or acetonitrile, or hydrogels upon dissolution in MOPS or monosodium phosphate buffer. These gels exhibit redox active properties due to the diselenide and disulfide moieties. Preliminary studies have been conducted to characterize these conjugates to support further redox and drug-loading experiments.
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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 | 0.000 |
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".