Minimizing Product Inhibition in DNA Self‐Replication: Insights for Prebiotic Replication from the Role of the Enzyme in Lesion‐Induced DNA Amplification**
Bibliographic record
Abstract
Self-replication of nucleic acids in the absence of enzymes represents an important and poorly understood step in the origin of life as such reported systems are strongly hindered by product inhibition. Studying one of the few successful examples of enzymatic DNA self-replication based on a simple ligation chain reaction, lesion-induced DNA amplification (LIDA), can shed light on how this fundamental process may have originally evolved. To identify the unknown factors that lead LIDA to overcome product inhibition we have employed isothermal titration calorimetry and global fitting of time-dependent ligation data to characterize the individual steps of the amplification process. We find that incorporating the abasic lesion into one of the four primers substantially decreases the stability difference between the product and intermediate complexes compared with complexes without the abasic group. In the presence of T4 DNA ligase this stability gap is further reduced by two orders of magnitude revealing that the ligase also helps overcome product inhibition. Kinetic simulations reveal that the intermediate complex stability and the magnitude of the ligation rate constant significantly impact the rate of self-replication, suggesting that catalysts that both facilitate ligation and stabilize the intermediate complex might be a route to efficient nonenzymatic replication.
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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 | 0.001 | 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".