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Identification of <i>Escherichia coli dnaE</i> ( <i>polC</i> ) Mutants with Altered Sensitivity to 2′,3′-Dideoxyadenosine

2000· article· en· W2171677253 on OpenAlexaff
Koji Hiratsuka, Linda J. Reha-Krantz

Bibliographic record

VenueJournal of Bacteriology · 2000
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDNA Repair Mechanisms
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsBiologyDNA polymeraseMutantPolymeraseEscherichia coliGeneDNAMolecular biologyGeneticsProtein subunitDNA polymerase IMutationDNA replicationReverse transcriptasePolymerase chain reaction

Abstract

fetched live from OpenAlex

Bacteria with reduced DNA polymerase I activity have increased sensitivity to killing by chain-terminating nucleotides (S. A. Rashbaum and N. R. Cozzarelli, Nature 264:679-680, 1976). We have used this observation as the basis of a genetic strategy to identify mutations in the dnaE (polC) gene of Escherichia coli that alter sensitivity to 2',3'-dideoxyadenosine (ddA). Two dnaE (polC) mutant strains with increased sensitivity to ddA and one strain with increased resistance were isolated and characterized. The mutant phenotypes are due to single amino acid substitutions in the alpha subunit, the protein product of the dnaE (polC) gene. Increased sensitivity to ddA is produced by the L329F and H417Y substitutions, and increased resistance is produced by the G365S substitution. The L329F and H417Y substitutions also reduce the accuracy of DNA replication (the mutator phenotype), while the G365S substitution increases accuracy (the antimutator phenotype). All of the amino acid substitutions are in conserved regions near essential aspartate residues. These results prove the effectiveness of the genetic strategy in identifying informative dnaE (polC) mutations that can be used to elucidate the molecular basis of nucleotide interactions in the alpha subunit of the DNA polymerase III holoenzyme.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.007
GPT teacher head0.229
Teacher spread0.222 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations7
Published2000
Admission routes1
Has abstractyes

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