Bibliographic record
Abstract
The effect of urea, isopropanol, propan-1-ol, and butan-1-ol on PCR using three different DNA polymerases was investigated. In the presence of these agents, polymerases were active as expected up to a critical concentration where they became progressively inhibited. Critical concentrations of alcohols generally increased with thermoresistance of the polymerases and decreased with the hydrophobicity of the alcohols. These results indicate that an important aspect of the inhibition involved conformational loosening due to a decrease in the hydrophobic effect. A mutagenic effect occurred with Vent(r) (exo-) DNA polymerase in the presence of 7.0 to 8.0% v/v propan-1-ol, affording mutation frequencies of up to 9.8 x 10(-3) mutation/bp/PCR. Under these conditions the preferential replacement of Gs and Cs was observed, in opposition to standard error-prone PCR that favors replacement of As and Ts. Comparison of various PCR conditions indicates that propanol and MnCl2 have different modes of action, and that the decrease in fidelity promoted by propanol is due to a finely tuned partial destabilization of the polymerase. The PCR conditions developed in this study provide a useful alternative for targeting different sequence space for directed evolution experiments.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".