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Record W2149343688 · doi:10.1002/jrs.1552

Discrimination between UV radiation‐induced and thermally induced spectral changes in AT‐paired DNA oligomers using UV resonance Raman spectroscopy

2006· article· en· W2149343688 on OpenAlexafffund
Andrew Jirasek, H. Georg Schulze, Curtis H. Hughesman, A. Louise Creagh, Charles A. Haynes, Michael W. Blades, Robin F. B. Turner

Bibliographic record

VenueJournal of Raman Spectroscopy · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSpectroscopy Techniques in Biomedical and Chemical Research
Canadian institutionsCanada's Michael Smith Genome Sciences CentreUniversity of British ColumbiaUniversity of Victoria
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsRaman spectroscopyResonance Raman spectroscopySpectroscopyChemistryUltravioletAnalytical Chemistry (journal)Ultraviolet visible spectroscopyThermal stabilityRadiationResonance (particle physics)Hydrogen bondPhotochemistryMaterials scienceMoleculeOptoelectronicsOpticsOrganic chemistryAtomic physics

Abstract

fetched live from OpenAlex

Abstract Ultraviolet resonance Raman spectroscopy (UVRRS) was used to monitor UV radiation and thermal energy deposition in 12‐ and 18‐mer AT oligomers. Difference spectroscopy and two‐dimensional correlation spectroscopy (2DCOS) were used to characterize the distinct spectral responses manifested by the two processes, and to examine their potential cooperative and/or independent effects on the ensemble spectrum. Experiments utilizing incremental doses of 257‐nm radiation revealed that the most affected bands are those involving double bonds when the sample temperature was held constant. Complementary experiments utilizing sample heating indicated that the most affected bands were those involving hydrogen‐bond disruption. Finally, it is shown that bands associated with Watson–Crick hydrogen‐bond disruption are the most affected in rapidly heat‐cycled samples. The results also suggest that both radiation and thermal effects produce independent structural changes in AT oligomers and, furthermore, that these effects are complementary when the experiments involve single‐strand DNA fragments. When using UVRRS to study one of these perturbations (e.g. thermal stability of DNA), the concurrent perturbation (e.g. UV exposure) must not be neglected, since UV exposure is inherent in the UVRR process. These findings thus have implications for the use of UVRRS in the study of DNA dynamics. Copyright © 2006 John Wiley & Sons, Ltd.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.056
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.020
GPT teacher head0.318
Teacher spread0.298 · 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.

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

Citations24
Published2006
Admission routes2
Has abstractyes

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