Interaction of Antioxidant Flavonoids with tRNA: Intercalation or External Binding and Comparison with Flavonoid-DNA Adducts
Bibliographic record
Abstract
Antioxidants are essential to good health. Flavonoids are powerful antioxidants, and prevent DNA damage. The antioxidative protections are related to their binding modes to a DNA duplex and complexation with free radicals in vivo. Recently we reported the interaction of flavonoids with DNA in vitro (Kanakis et al., J. Biomol. Struct. Dyn. 22, 719-724, 2005), where polyphenol different binding modes were discussed. The aim of this study was to examine the interaction of transfer RNA with quercetin (que), kaempferol (kae), and delphinidin (del) in aqueous solution at physiological conditions and to make a comparison with the corresponding pigment-DNA adducts. Constant tRNA concentration (6.25 mM) and various drug/RNA(phosphate) molar ratios of 1/48 to 1/8 were used. FTIR and UV-visible difference spectroscopic methods have been applied to determine the drug binding mode, the binding constants, and the effects of drug complexation on the stability and conformation of tRNA duplex. Both intercalative and external binding modes were observed. Structural analysis showed que, kae, and a del intercalate tRNA duplex with minor external binding to the major or minor groove and the backbone phosphate group with overall binding constants K (que) = 4.80 x 10(4) M(1), K (kae) = 4.65 x 10(4) M(1), and K (del) = 9.47 x 10(4) M(1). The stability of adduct formation is in the order of del > que > kae. A comparison with flavonoids-DNA adducts showed both intercalation and external bindings with the stability order K (que) = 7.25 x 10(4) M(1), K (kae) = 3.60 x 10(4) M(1), and K (del) = 1.66 x 10(4) M(1). Low flavonoid concentration induces helical stabilization, whereas high pigment content causes helix opening. A partial Bto A-DNA transition occurs at high drug concentration, while tRNA remains in the A-family structure.
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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".