The Discovery, Mechanisms, and Evolutionary Impact of Anti-CRISPRs
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
Bacteria and archaea use CRISPR-Cas adaptive immune systems to defend themselves from infection by bacteriophages (phages). These RNA-guided nucleases are powerful weapons in the fight against foreign DNA, such as phages and plasmids, as well as a revolutionary gene editing tool. Phages are not passive bystanders in their interactions with CRISPR-Cas systems, however; recent discoveries have described phage genes that inhibit CRISPR-Cas function. More than 20 protein families, previously of unknown function, have been ascribed anti-CRISPR function. Here, we discuss how these CRISPR-Cas inhibitors were discovered and their modes of action were elucidated. We also consider the potential impact of anti-CRISPRs on bacterial and phage evolution. Finally, we speculate about the future of this field.
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) | 0.001 | 0.001 |
| 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