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Record W1970820838 · doi:10.1002/elps.200700192

Analysis and purification of peptide nucleic acids by denaturing PAGE

2007· article· en· W1970820838 on OpenAlexaff
D. Dodd, Robert H. E. Hudson

Bibliographic record

VenueElectrophoresis · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDNA and Nucleic Acid Chemistry
Canadian institutionsWestern University
Fundersnot available
KeywordsPeptide nucleic acidOligomerPeptideNucleic acidChromatographyChemistryPolyacrylamide gel electrophoresisPolyacrylamideCoomassie Brilliant BlueElectrophoresisSilver stainGel electrophoresisStainingBiochemistryMolecular biologyBiologyOrganic chemistryPolymer chemistry

Abstract

fetched live from OpenAlex

A flexible and convenient protocol for the analysis and purification of peptide nucleic acid (PNA) oligomers and PNA-peptide chimeras by denaturing PAGE is described. Vertical slab gel electrophoresis, 26% in polyacrylamide and 8 M urea at pH 3, was suitable for analysis of oligomers ranging in size from tetramers (4-mers) to tetradodecamers (24-mers). Single-base resolution of oligomers was achieved and separations are generally superior to those given by standard RP-HPLC techniques. The separation of a related series of PNA oligomers showed the distance migrated was linearly dependent on the logarithm of the molecular weight. The migration of oligomers through the gel is dependent on the number of basic functional groups present, such as amino groups, and the A and C content of the oligomer. PNAs are amenable to detection by UV-shadowing technique illuminated at 260 nm or Coomassie blue staining, both with similar, sub-microgram per band detection limits.

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 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 score0.015
Threshold uncertainty score0.439

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 head0.003
GPT teacher head0.209
Teacher spread0.207 · 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 teacher head, 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

Citations12
Published2007
Admission routes1
Has abstractyes

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