Synthesis and Biophysical Properties of Arabinonucleic Acids (ANA): Circular Dichroic Spectra, Melting Temperatures, and Ribonuclease H Susceptibility of ANA·RNA Hybrid Duplexes
Bibliographic record
Abstract
Arabinonucleic acid (ANA), the 2'-epimer of RNA, was synthesized from arabinonucleoside building blocks by conventional solid-phase phosphoramidite synthesis. In addition, the biochemical and physicochemical properties of ANA strands of mixed base composition were evaluated for the first time. ANA exhibit certain characteristics desirable for use as antisense agents. They form duplexes with complementary RNA, direct RNase H degradation of target RNA molecules, and display resistance to 3'-exonucleases. Since RNA does not elicit RNase H activity, our findings establish that the stereochemistry at C2' (ANA versus RNA) is a key determinant in the activation of the enzyme RNase H. Inversion of stereochemistry at C2' is most likely accompanied by a conformational change in the furanose sugar pucker from C3'-endo (RNA) to C2'-endo ("DNA-like") pucker (ANA) [Noronha and Damha (1998) Nucleic Acids Res. 26, 2665-2671; Venkateswarlu and Ferguson (1999) J. Am. Chem. Soc. 121, 5609-5610]. This produces ANA/RNA hybrids whose CD spectra (i.e., helical conformation) are more similar to the native DNA/RNA substrates than to those of the pure RNA/RNA duplex. These features, combined with the fact that ara-2'OH groups project into the major groove of the helix (where they should not interfere with RNase H binding), help to explain the RNase H activity of ANA/RNA hybrids.
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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) | 0.000 | 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) | 0.001 | 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".