Molecular thermodynamics of LNA:LNA base pairs and the hyperstabilizing effect of 5′‐proximal LNA:DNA base pairs
Bibliographic record
Abstract
Locked nucleic acids (LNAs) can greatly enhance duplex DNA stability, and are therefore creating opportunities to improve therapeutics, as well as PCR‐based disease and pathogen diagnostics. Realizing the full potential of LNAs will require better understanding of their contributions to duplex stability, and the ability to predict their hydridization thermodynamics. Melting thermodynamics data for a large set of diverse duplexes containing LNAs in one or both strands are presented. Those data reveal that LNAs, when present on both strands, can stabilize a duplex not only through direct interaction with their base‐pair partner, but also through nonlocal hyperstablization effects created by LNA:LNA base pairs and/or specific patterns of oppositely oriented LNA:DNA base pairs. The data are, therefore, used to extend a thermodynamic model previously developed in our lab to permit accurate prediction of melting temperatures for duplexes bearing LNA substitutions within both strands using a classic group‐contribution approach. © 2015 American Institute of Chemical Engineers AIChE J , 61: 2711–2731, 2015
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".