Modeling of the orientational and structural dynamics of single-stranded DNA probe molecules immobilized on fused silica and glass surfaces
Bibliographic record
Abstract
Immobilization of single-stranded DNA onto fused silica and glass surfaces has been widely used for preparation of fiber optic sensors and DNA microarrays. Fundamental investigations of the orientation, motion and hybridization behavior of immobilized ssDNA is important to understand the design sensing devices. Using computational methods to evaluate molecular dynamics w have simulated a solid SiO2-linker-ssDNA system and studied the conformations assumed by such immobilized material under different physical constraints. We have also evaluated the molecular dynamics of fluorescent intercalating dyes that are attached to the ssDNA by tethers of various lengths, with the goal of preparing a label on ssDNA that will transducer hybridization. Periodic boundary conditions were applied to examine packing properties and nearest neighbor interactions of adjacent ssDNA molecules. Molecular dynamics have been performed at room temperature as well as on heated systems. Solvent effects were taken into account and the modeling assumed the presence of an aqueous environment. The results suggest the various conformations and orientations that immobilized ssDNA can assume, and indicate that the orientation is generally far more that is perpendicular to the interface. Exploration of tether lengths indicates the minimum lengths that are required for a fluorescent label to operate efficiently as an intercalating agent.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".