Electrophoretic mobility of partially denatured DNA in a gel: Qualitative and semiquantitative differences between bubbles and split ends
Bibliographic record
Abstract
Partially melted DNA is known to exhibit an abrupt decrease of electrophoretic mobility in a gel. Although this is the main phenomenon exploited in TGGE/DGGE (temperature gradient gel electrophoresis/denaturing gradient gel electrophoresis), not much is known about the physical processes responsible for the blocking. While there is a commonly used formula for the reduced mobility based on the theory of branched polymers, it does not discriminate between denatured domains bounded on one (split end) or two sides (bubble). To better understand how the blocking occurs in both of these cases, a coarse-grained model of DNA gel electrophoresis is simulated using Langevin Dynamics. The simulations reveal that the low-field mobility is much more sensitive to denatured domains located at the ends of a DNA fragment. A denatured domain occurring at the center of a fragment indeed reduces the mobility, but at a much lower rate.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".