Molecular Mechanism of the DNA Sequence Selectivity of 5-Halo-2′-Deoxyuridines as Potential Radiosensitizers
Bibliographic record
Abstract
The 5-halo-2'-deoxyuridines bromodeoxyuridine (BrdU) and iododeoxyuridine (IdU) are well-known photosensitizers for inducing DNA/RNA-protein cross-linking and potential radiosensitizers for radiotherapy of cancer. The dependence of the photosensitivity of BrdU and IdU on the DNA sequence has been well-observed, but it is unknown whether there is a similar DNA sequence selectivity in their radiosensitivity. Here we show a new ultrafast electron transfer (UET) mechanism for the likely DNA sequence dependence of the radiosensitivity of BrdU and IdU. Our femtosecond time-resolved transient laser absorption spectroscopic measurements provide the first real-time observation of the UET reactions of BrdU/IdU with the anion states of adenine and guanine. It is shown that the UET between BrdU and dA*(-) (dA(-)) is more effective than that between BrdU and dG*(-). This is related to the recent observation that dG*(-) is highly destructive while dA(-) is long-lived. This mechanistic understanding may lead to the improvement of BrdU and IdU to achieve sufficient radiosensitizing efficacy and the development of more effective radiosensitizers for clinical uses.
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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".