Grafting Strategies of Oxidation-Prone Coiled-Coil Peptides for Protein Capture in Bioassays: Impact of Orientation and the Oxidation State
Bibliographic record
Abstract
Many biomedical and biosensing applications require functionalization of surfaces with proteins. To this end, the E/K coiled-coil peptide heterodimeric system has been shown to be advantageous. First, Kcoil peptides are covalently grafted onto a given surface. Ecoil-tagged proteins can then be non-covalently captured via a specific interaction with their Kcoil partners. Previously, oriented Kcoil grafting was achieved via thiol coupling, using a unique Kcoil with a terminal cysteine residue. However, cysteine-terminated Kcoil peptides are hard to produce, purify, and oxidize during storage. Indeed, they tend to homodimerize and form disulfide bonds via oxidation of their terminal thiol group, making it impossible to later graft them on thiol-reactive surfaces. Kcoil peptides also contain multiple free amine groups, available for covalent coupling through carbodiimide chemistry. Grafting Kcoil peptides on surfaces via amine coupling would thus guarantee their immobilization regardless of their terminal cysteine's oxidation state, at the expense of the control over their orientation. In this work, we compare Kcoil grafting strategies for the subsequent capture of Ecoil-tagged proteins, for applications such as surface plasmon resonance (SPR) biosensing and cell culture onto protein-decorated substrates. We compare the "classic" thiol coupling of cysteine-terminated Kcoil peptides to the amine coupling of (i) monomeric Kcoil and (ii) dimeric Kcoil-Kcoil linked by a disulfide bond. We have observed that SPR biosensing performances relying on captured Ecoil-tagged proteins were similar for amine-coupled dimeric Kcoil-Kcoil and thiol-coupled Kcoil peptides, at the expense of higher Ecoil-tagged protein consumption. For cell culture applications, Ecoil-tagged growth factors captured on amine-coupled monomeric Kcoil signaled through cell receptors similarly to those captured on thiol-coupled Kcoil peptides. Altogether, while oriented thiol coupling of cysteine-terminated Kcoil peptides remains the most reliable and versatile platform for Ecoil-tagged protein capture, amine coupling of Kcoil peptides, either monomeric or dimerized through a cysteine bond, can offer a good alternative when the challenges and costs associated with the production of monomeric cysteine-tagged Kcoil are too dissuasive for the application.
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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) | 0.000 | 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".