DNA Interaction with Saffron's Secondary Metabolites Safranal, Crocetin, and Dimethylcrocetin
Bibliographic record
Abstract
Saffron comes from the dried red stigmas of the Crocus sativus L. flower. Except for its use in cooking and in traditional medicine, it has numerous applications as an antitoxic, antioxidant, and anticancer agent due to its secondary metabolites and their derivatives (safranal, crocins, crocetin, dimethylcrocetin). However, there has been no information on the interactions of these secondary metabolites with individual DNA at molecular level. This study was designed to examine the interaction of safranal, crocetin (CRT), and dimethylcrocetin (DMCRT) with calf-thymus DNA in aqueous solution at physiological conditions, using constant DNA concentration (6.25 mM) and various drug/DNA(phosphate) molar ratios from 1/48 to 1/2. FTIR and UV-visible difference spectroscopic methods are used to determine the drug binding sites, the binding constants, and the effects of carotenoids and safranal complexation on the stability and conformation of DNA duplex. Both intercalative and external binding modes were observed, with overall binding constants K(safranal) = 1.24 x 10(3) M(-1), K(CRT) = 6.2 x 10(3) M(-1) and K(DMCRT) = 1.85 x 10(5) M(-1) A partial B- to A-DNA transition occurs at high carotenoids and safranal concentrations.
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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 | 0.001 | 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".