The evolutionary entanglement of flipons with zinc fingers and retroelements has engendered a large family of Z-DNA and G-quadruplex binding proteins
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
Sequences called flipons can adopt discrete, alternative nucleic acid conformations, such as the left-handed Z-DNA and Z-RNA double helices (referred to collectively as ZNA), and the four-stranded RNA and DNA G-quadruplexes. Each flipon conformation encodes different information. For example, the base-specific interactions of proteins with B-DNA enable sequence-specific recognition. In contrast, the higher energy Z-DNA and G-quadruplexes facilitate the speedy scanning of chromosomes to locate active regions of the genome. Results synthesized from small-scale benchside and large-scale computational experimental approaches provide compelling evidence that zinc-finger protein domains (ZFDs) not only engage in base-specific recognition of B-DNA, but also bind directly to Z-DNA and G-quadruplexes. The findings address the long-standing speed-stability paradox of how high-affinity ZFPs with multiple zinc fingers can rapidly localize to a specific binding site. The energy gap between different DNA interaction modes enables fast off-rates during the scanning of Z-DNA for cognate binding sites, and a slow off-rate following engagement of the B-DNA conformer. ZFPs represent the most prominent human transcription factor family with 804 annotated members. The coevolution of flipons and ZFP enhances suppression of retroelements and enables rapid, context-specific responses. ZNA and GQ binding proteins are consequently more frequent in the proteome than currently conceded.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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