AZT–DNA Interaction
Bibliographic record
Abstract
Oxidative DNA damage has been reported in fetal tissues by exposure to 3'-azido-3'-deoxythymidine (AZT). AZT has been used effectively for the treatment of human immunodeficiency virus-1 (HIV-1) and AIDS. It showed in vitro to block the nucleoside-binding site of the viral reverse transcriptase and to inhibit DNA replication by chain termination. It incorporates into both nuclear and mitochondrial DNA and is shown to cause cancer in vivo and in vitro. This study was designed to examine the interaction of AZT with DNA in aqueous solution at physiological condition, using different drug/DNA (phosphate) molar ratios (r) of 1/80 to 1/2 and constant DNA concentration of 12.5 mM (phosphate). Capillary electrophoresis, FTIR, and UV-visible difference spectroscopic methods and molecular modeling were used to determine the drug binding sites, the binding constants and the effects of the AZT complexation on DNA conformation. Structural analysis showed that AZT binds to DNA through G-C and A-T base pairs and the backbone PO(2) groups with two binding constants of K(1) = 2.60 x 10(5) M(-1) and K(2) = 1.20 x 10(5) M(-1). The drug distributions are 50% with G-C, 15% with A-T and 35% with the backbone phosphate group. AZT-DNA interaction is associated with a partial B- to A-DNA conformational transition.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".