Volumetric properties of the formation of double stranded DNA: A nearest‐neighbor analysis
Bibliographic record
Abstract
The kinetics of the helix-coil transition have been studied by performing UV-monitored melting and reannealing curves of DNA and analyzing the resultant hysteresis between these curves. The analysis assumes a single-step bimolecular transition with duplex formation defined as the forward reaction. Volume parameters of the helix-coil transition were obtained by measuring the pressure dependence of the rate constants from 5-200 MPa. The data were interpreted in terms of several possible nearest-neighbor models, ranging from one to eleven parameters. Twenty-four oligonucleotide duplexes 22 base pairs in length were used to solve for individual nearest-neighbor activation volumes and transition volumes. Statistically, the most valid fit of the volumetric data was obtained with a six-parameter model in which the directionality of the dinucleotide steps is not considered, for example, 5'AG/CT is the same as 5'GA/TC. The resultant transition volumes at 48 degrees C ranged from -7.1 +/- 0.8 mL/mol (GC/CG) to +2.9 +/- 0.3 mL/mol (AA/TT). The success of the six-parameter model suggests that the relative size of the nearest-neighbor dinucleotides is the most important factor determining the magnitude of the volumetric parameters. The finding that the magnitude of the volumetric parameters correlates with the change in the solvent accessible surface area of the bases during the helix-coil transition corroborates this hypothesis.
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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) | 0.000 | 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 | 0.001 | 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".