A Bifunctional Polyphosphate Kinase Driving the Regeneration of Nucleoside Triphosphate and Reconstituted Cell-Free Protein Synthesis
Bibliographic record
Abstract
Reconstituted cell-free protein synthesis systems (e.g., the PURE system) allow the expression of toxic proteins, hetero-oligomeric protein subunits, and proteins with noncanonical amino acids with high levels of homogeneity. In these systems, an artificial ATP/GTP regeneration system is required to drive protein synthesis, which is accomplished using three kinases and phosphocreatine. Here, we demonstrate the replacement of these three kinases with one bifunctional Cytophaga hutchinsonii polyphosphate kinase that phosphorylates nucleosides in an exchange reaction from polyphosphate. The optimized single-kinase system produced a final sfGFP concentration (∼530 μg/mL) beyond that of the three-kinase system (∼400 μg/mL), with a 5-fold faster mRNA translation rate in the first 90 min. The single-kinase system is also compatible with the expression of heat-sensitive firefly luciferase at 37 °C. Potentially, the single-kinase nucleoside triphosphate regeneration approach developed herein could expand future applications of cell-free protein synthesis systems and could be used to drive other biochemical processes in synthetic biology which require both ATP and GTP.
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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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".