In Vitro Selection of Protein-Binding DNA Aptamers as Ligands for Biosensing Applications
Bibliographic record
Abstract
Aptamers are single-stranded functional nucleic acids that possess cognate ligand recognition capability. These functional nucleic acids have been used for biosensing of a variety of ligands. Aptamers are isolated by "in vitro selection" or SELEX from random-sequence nucleic acid pools. For example, DNA aptamers that recognize a protein can be generated by applying a DNA library to an affinity column containing the protein target and retrieving the bound sequences after wash. These sequences are amplified and used for a new round of binding and amplification. The identity of enriched sequences are subsequently revealed by cloning and sequencing. The binding of individual aptamers to the protein can be confirmed by techniques such as gel mobility shift. This chapter will provide a detailed protocol for isolating protein-binding DNA aptamers.
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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".