DNA polymerase activity on synthetic N3′→P5′ phosphoramidate DNA templates
Bibliographic record
Abstract
Genetic polymers that could plausibly govern life in the universe might inhabit a broad swath of chemical space. A subset of these genetic systems can exchange information with RNA and DNA and could therefore form the basis for model protocells in the laboratory. N3'→P5' phosphoramidate (NP) DNA is defined by a conservative linkage substitution and has shown promise as a protocellular genetic material, but much remains unknown about its functionality and fidelity due to limited enzymatic tools. Conveniently, we find widespread NP-DNA-dependent DNA polymerase activity among reverse transcriptases, an observation consistent with structural studies of the RNA-like conformation of NP-DNA duplexes. Here, we analyze the consequences of this unnatural template linkage on the kinetics and fidelity of DNA polymerization activity catalyzed by wild-type and variant reverse transcriptases. Template-associated deficits in kinetics and fidelity suggest that even highly conservative template modifications give rise to error-prone DNA polymerase activity. Enzymatic copying of NP-DNA sequences is nevertheless an important step toward the future study and engineering of this synthetic genetic polymer.
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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 | 0.001 | 0.002 |
| 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 | 0.001 |
| 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".