Edge‐State Programmed Carbonized Nanogels Enable Precise Hot‐Start PCR by Multivalent Enzyme Inhibition
Bibliographic record
Abstract
Hot-start polymerase chain reaction (PCR) improves DNA amplification specificity by inhibiting polymerase activity before denaturation. We present carbonized polysaccharide nanogels (CNGs) as protein-free, thermoresponsive inhibitors for precise hot-start control. Mild pyrolysis of sodium alginate yields alginate-derived CNGs (Alg-CNGs) with graphitic carbon domains and oxygen-rich edge chemistries, including phenolic and lactone groups. Alg-CNGs inhibit Taq DNA polymerase over 1000-fold compared to native alginate at ambient temperatures, with activity restored above ≈75°C. Isothermal titration calorimetry, limited proteolysis-mass spectrometry, molecular docking, and dynamics simulations reveal multivalent interactions with polymerase subdomains that restrict open-closed transitions for catalysis, which weaken upon heating, consistent with enthalpy-driven binding and entropy-enabled release. Chemical modifications, such as phenol oxidation and lactone ring opening, reduce inhibition and identify phenolic and lactone edge groups as key contact determinants. Alg-CNGs outperform antibody-based alternatives, with a binding affinity one order of magnitude higher than reported hot-start antibodies, ensuring high-fidelity and single-target amplification. Unlike antibodies or aptamers, Alg-CNGs serve as universal hot-start inhibitors, improving specificity across various commercial Taq DNA polymerases and showing strong potential to replace protein- and aptamer-based hot-start PCR systems in nucleic acid diagnostics.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".