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Record W2082742289 · doi:10.1089/dna.2004.23.789

Alcohol-Mediated Error-Prone PCR

2004· article· en· W2082742289 on OpenAlex
S. Claveau, Maxime Sasseville, Marc Beauregard

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDNA and Cell Biology · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMolecular Biology Techniques and Applications
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsBiologyGeneticsComputational biology

Abstract

fetched live from OpenAlex

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.192
Threshold uncertainty score0.511

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.010
GPT teacher head0.257
Teacher spread0.247 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it