Reactions of Water-Soluble Alkylperoxyl Radicals and Superoxide with DNA, Lipoproteins and Phospholipid Vesicles:The Role Played by Electrostatic Forces
Bibliographic record
Abstract
The role of electrostatic forces in free radical biology is very important but it is all too often overlooked. The radicals discussed in this review include positively-charged, negatively-charged and neutral water-soluble alkylperoxyls and superoxide. Important scientific insights have been gained by generating these radicals in known quantities by the thermal decomposition of simple, "clean", chemical precursors in the presence of potential bio-targets. For example, the abilities of these radicals to damage double-stranded DNA, a polyanion, are dictated by Coulombic forces with only the positively-charged peroxyls being capable of directly producing single-strand breaks. The Coulombic control of the reactions and reaction rates of water-soluble peroxyl radicals which are so evident with DNA do not manifest themselves with all electrostatically charged bio-targets, e.g., low density lipoprotein (LDL), probably because the charge on the surface of the LDL is not uniformly distributed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".