Tyrosinase-Catalyzed Synthesis of a Universal Coil-Chitosan Bioconjugate for Protein Immobilization
Bibliographic record
Abstract
Chitosan has been reported as a promising material for gene and drug delivery as well as for tissue engineering and regenerative medicine. We report here the conjugation of a de novo designed coil peptide (Kcoil) to chitosan ( M(n) = 200 kDa) to achieve a universal Kcoil-chitosan scaffold for subsequent immobilization of proteins tagged with the Kcoil partner, i.e., the Ecoil peptide. Kcoil-chitosan conjugate was synthesized using a tyrosinase-catalyzed protocol. Extensive UV/vis and IR characterization demonstrated that Kcoil peptide was covalently grafted to amines of chitosan. The ability of Kcoil-chitosan conjugate to recruit Ecoil tagged epidermal growth factor (EGF) was assessed by surface plasmon resonance measurements (SPR). Despite nonspecific interactions between chitosan and EGF, the specific formation of an E/K coiled coil complex was observed at slightly acidic pH and high salt concentration conditions, demonstrating that grafting to chitosan did not negatively impact binding characteristics of Kcoil peptide. Finally, the benefits of such bioconjugates for biomedical applications are discussed.
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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) | 0.001 | 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".