Chromatographic method for quick estimation of DNA interaction potency of environmental pollutants
Bibliographic record
Abstract
The DNA interaction potency of a chemical has been defined in the present study as the degree of a chemical's ability to interact with DNA. An estimation method of such a potency has been established based on the peak reduction of an oligonucleotide probe resulting from its interaction with chemicals based on high-performance liquid chromatography. A DNA interaction potency equivalency (PEQ) also has been proposed to evaluate the relative interaction potency of test chemicals against benzo[a]pyrene-7,8-dihydrodiol-9,10-epoxide (BPDE). Five known direct DNA interaction chemicals were employed to demonstrate the method. Two known inactive chemicals were used as negative controls. Both the potency and PEQ(50) values (PEQ of testing chemical at 50% of the probe peak reduction) of these five chemicals were determined as BPDE > phenyl glycidyl ether (PGE) > tetrachlorohydroquinone (Cl4HQ) > methyl methanesulfonate (MMS) > styrene-7,8-oxide (SO). Among the reactive chemicals, MMS was found to break the oligonucleotide into smaller fragments, whereas BPDE, PGE, and SO form covalent adducts with the oligonucleotide. In the latter case, the formation of multi-chemical-oligonucleotide adducts also was observed by mass spectrometry. The method was employed to estimate the DNA interaction potency equivalency of diesel vehicle exhaust gas to demonstrate the applicability of this approach in evaluating the interaction potency of environmental pollutants in both gas and liquid phases.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".