Initial Excited-State Structural Dynamics of dT and dA Oligonucleotide Homopentamers Using Resonance Raman Spectroscopy
Bibliographic record
Abstract
Photochemical damage of DNA is initiated by absorption of ultraviolet light, and the photoproducts are formed as a result of excited-state structural and electronic dynamics. We have used UV resonance Raman spectroscopy to measure the initial excited-state structural dynamics of homopentamers of adenosine monophosphate (3'-dApdApdApdApdAp-5') and thymidine monophosphate (3'-dTpdTpdTpdTpdTp-5') and compare them to those of the monomeric nucleobases. The resonance Raman spectra of the homopentamers are similar to those of the corresponding monomers. Initial excited-state slopes, homogeneous and inhomogeneous broadening, and other excited-state parameters were extracted by self-consistent simulation of the resonance Raman excitation profiles and absorption spectra with a time-dependent formalism and are also similar to the initial excited-state slopes and broadening in the nucleotide monomers. The lack of differences between the initial excited-state structural dynamics of the nucleotides within the pentamer and the isolated nucleobases is consistent with a model in which the formation of photochemical products in oligonucleotides and DNA is dependent on the formation of the transition-state structure within these polymers, dictated by their large-scale dynamics. These results are discussed in light of the known photochemistry of DNA and the nucleobases.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".