Mechanistic Aspects of Hydration of Guanine Radical Cations in DNA
Bibliographic record
Abstract
The mechanistic aspects of hydration of guanine radical cations, G(•+) in double- and single-stranded oligonucleotides were investigated by direct time-resolved spectroscopic monitoring methods. The G(•+) radical one-electron oxidation products were generated by SO4(•-) radical anions derived from the photolysis of S2O8(2-) anions by 308 nm laser pulses. In neutral aqueous solutions (pH 7.0), after the complete decay of SO4(•-) radicals (∼5 μs after the actinic laser flash) the transient absorbance of neutral guanine radicals, G(-H)(•) with maximum at 312 nm, is dominant. The kinetics of decay of G(-H)(•) radicals depend strongly on the DNA secondary structure. In double-stranded DNA, the G(-H)(•) decay is biphasic with one component decaying with a lifetime of ∼2.2 ms and the other with a lifetime of ∼0.18 s. By contrast, in single-stranded DNA the G(-H)(•) radicals decay monophasically with a ∼ 0.28 s lifetime. The ms decay component in double-stranded DNA is correlated with the enhancement of 8-oxo-7,8-dihydroguanine (8-oxoG) yields which are ∼7 greater than in single-stranded DNA. In double-stranded DNA, it is proposed that the G(-H)(•) radicals retain radical cation character by sharing the N1-proton with the N3-site of C in the [G(•+):C] base pair. This [G(-H)(•):H(+)C ⇆ G(•+):C] equilibrium allows for the hydration of G(•+) followed by formation of 8-oxoG. By contrast, in single-stranded DNA, deprotonation of G(•+) and the irreversible escape of the proton into the aqueous phase competes more effectively with the hydration mechanism, thus diminishing the yield of 8-oxoG, as observed experimentally.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".