A Model for the Induction of DNA Damages and their Evolution into Cell Clonogenic Inactivation
Bibliographic record
Abstract
The dependence of the initial production of DNA damages on radiation quality was examined by using a proposed new model on the basis of target theory. For the estimation of DNA damage-production by different radiation qualities, five possible modes of radiation action, including both direct and indirect effects, were assumed inside a target the molecular structure of which was defined to consist of 10 base-pairs of DNA surrounded by water molecules. The induction of DNA damage was modeled on the basis of comparisons between the primary ionization mean free path and the distance between pairs of ionized atoms, such distance being characteristic on the mode of radiation action. The OH radicals per average energy to produce an ion pair on the nanosecond time scale was estimated and used for indirect action. Assuming a relation between estimated yields of DNA damages and experimental inactivation cross sections for AT-cells, the present model enabled the quantitative reproduction of experimental results for AT-cell killing under aerobic or hypoxic conditions. The results suggest a higher order organization of DNA in a way that there will be at least two types of water environment, one filling half the space surrounding DNA with a depth of 3.7-4.3 nm and the other filling all space with a depth 4.6-4.9 nm.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".