PNA-based artificial nucleases as antisense and anti-miRNA oligonucleotide agents
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Because of its interesting chemical, physical and biological properties, Peptide Nucleic Acid (PNA) has attracted major attention in molecular biology, for diagnostics purposes and development of biosensors. PNAs have become candidates for gene therapeutic drugs in ANTISENSE (AO) strategy with favorable in vivo biochemical properties. Recently, antisense PNA oligonucleotides have been described in anti-miRNA approach (AMO). We propose PNA-based nucleases as AO and AMO agents. We report the design, synthesis and characterization of two kinds of artificial nucleases composed of a PEG-PNA-PEG domain conjugated to HGG·Cu (A) and DETA (B) as well known cleavage sites. Qualitative (MALDI-TOF) and quantitative (HTS) assays were planned to study nuclease activity of constructs A and B on RNA-3'-FAM target sequence. The results have highlighted the best performance of nuclease B and the relevance of the PEG spacer, in particular for conjugate A, in terms of efficiency of the cleavage, suggesting that conjugates A and B also act as potential antisense and anti-miRNA agents.
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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 it