An RNA Aptamer That Selectively Inhibits the Enzymatic Activity of Protein Tyrosine Phosphatase 1B in vitro
Bibliographic record
Abstract
SELEX was used to create an RNA aptamer targeted to protein tyrosine phosphatase 1B (PTP1B), an enzyme implicated in type 2 diabetes, breast cancer and obesity. We found an aptamer that strongly inhibits PTP1B in vitro with a Ki of less than 600 pM. This slow-binding, high-affinity inhibitor is also highly selective, with no detectable effect on most other tested phosphatases and approximately 300:1 selectivity over the closely related TC-PTP. Through controlled synthesis of truncated variants of the aptamer, we isolated shorter forms that inhibit PTP1B. We also investigated various single-nucleotide modifications to probe their effects on the aptamer's secondary structure and inhibition properties. This family of aptamers represents an exciting option for the development of lead nucleotide-based compounds in combating several human cancers and metabolic diseases.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".