In Vitro Selection of New DNA Aptamers for Human Vascular Endothelial Growth Factor 165
Bibliographic record
Abstract
Two DNA aptamers that bind the heparin-binding domain (HBD) of the human vascular endothelial growth factor 165 (VEGF-165) have been previously reported. Although VEGF-165 is a homodimeric protein and the two aptamers have different sequences and secondary structures, the aptamers appear to occupy the same binding site and cannot form a 2 : 1 aptamer/protein complex, thus making them unsuitable for creating a higher-affinity dimeric DNA aptamer. This has motivated us to conduct a new in vitro selection experiment to search for new VEGF-165-binding DNA aptamers with different properties. We undertook a multistream selection strategy in which the concentration of VEGF-165 was varied significantly. We carried out 11 rounds of selection, and next-generation sequencing was conducted for every round in each stream. From comprehensive sequence analysis, we identified four classes of DNA aptamers, of which two were reported before, but two are new DNA aptamers. One of the new aptamers exhibits a unique property that has never been observed before: it is capable of forming the 2 : 1 aptamer/protein complex with VEGF-165. This work has expanded the repertoire of VEGF-165-binding DNA aptamers and creates a possibility to engineer a higher affinity homodimeric aptamer for VEGF-165.
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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 | 0.000 | 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".