Physical interpretation of the <i>L</i><sub>r</sub> parameter in the theory for the gel electrophoresis of partially denatured DNA
Bibliographic record
Abstract
Partial strand melting of dsDNA during gel electrophoresis typically results in an abrupt reduction of mobility. Several DNA analysis technologies are based on this phenomenon. Inspired by the de Gennes' theory for the reptation of branched polymers in gels, Lerman et al. (Ann. Rev. Biophys. Bioeng. 1984, 13, 399-423) proposed a mathematical expression to predict this reduced mobility. The latter contains only two parameters: the average number of denatured bases p (which can be obtained using a theory for DNA melting) and a constant L(r). However, there is confusion in the literature regarding the physical interpretation of L(r) and little is known about its dependence upon experimental parameters. The purpose of this short communication is to derive an explicit equation for the parameter L(r) from the de Gennes theory of reptation. Our derivation shines light on the meaning of L(r), clarifies the scope of the underlying approximations, and makes predictions about the dependence of L(r) upon the gel pore size and the persistence length of ssDNA.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".